106 results on '"Haojia Li"'
Search Results
2. Histone lactylation promotes malignant progression by facilitating USP39 expression to target PI3K/AKT/HIF-1α signal pathway in endometrial carcinoma
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Sitian Wei, Jun Zhang, Rong Zhao, Rui Shi, Lanfen An, Zhicheng Yu, Qi Zhang, Jiarui Zhang, Yuwei Yao, Haojia Li, and Hongbo Wang
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Cytology ,QH573-671 - Abstract
Abstract Histone lactylation has been reported to involve in tumorigenesis and development. However, its biological regulatory mechanism in endometrial carcinoma (EC) is yet to be reported in detail. In the present study, we evaluated the modification levels of global lactylation in EC tissues by immunohistochemistry and western blot, and it was elevated. The non-metabolizable glucose analog 2-deoxy-d-glucose (2-DG) and oxamate treatment could decrease the level of lactylation so as to inhibit the proliferation and migration ability, induce apoptosis significantly, and arrest the cell cycle of EC cells. Mechanically, histone lactylation stimulated USP39 expression to promote tumor progression. Moreover, USP39 activated PI3K/AKT/HIF-1α signaling pathway via interacting with and stabilizing PGK1 to stimulate glycolysis. The results of present study suggest that histone lactylation plays an important role in the progression of EC by promoting the malignant biological behavior of EC cells, thus providing insights into potential therapeutic strategies for endometrial cancer.
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- 2024
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3. Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies
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Arpit Aggarwal, Sirvan Khalighi, Deepak Babu, Haojia Li, Sepideh Azarianpour-Esfahani, Germán Corredor, Pingfu Fu, Mojgan Mokhtari, Tilak Pathak, Elizabeth Thayer, Susan Modesitt, Haider Mahdi, Stefanie Avril, and Anant Madabhushi
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Medicine - Abstract
Abstract Background The role of immune cells in collagen degradation within the tumor microenvironment (TME) is unclear. Immune cells, particularly tumor-infiltrating lymphocytes (TILs), are known to alter the extracellular matrix, affecting cancer progression and patient survival. However, the quantitative evaluation of the immune modulatory impact on collagen architecture within the TME remains limited. Methods We introduce CollaTIL, a computational pathology method that quantitatively characterizes the immune-collagen relationship within the TME of gynecologic cancers, including high-grade serous ovarian (HGSOC), cervical squamous cell carcinoma (CSCC), and endometrial carcinomas. CollaTIL aims to investigate immune modulatory impact on collagen architecture within the TME, aiming to uncover the interplay between the immune system and tumor progression. Results We observe that an increased immune infiltrate is associated with chaotic collagen architecture and higher entropy, while immune sparse TME exhibits ordered collagen and lower entropy. Importantly, CollaTIL-associated features that stratify disease risk are linked with gene signatures corresponding to TCA-Cycle in CSCC, and amino acid metabolism, and macrophages in HGSOC. Conclusions CollaTIL uncovers a relationship between immune infiltration and collagen structure in the TME of gynecologic cancers. Integrating CollaTIL with genomic analysis offers promising opportunities for future therapeutic strategies and enhanced prognostic assessments in gynecologic oncology.
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- 2024
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4. Colonoscopy and Upper Endoscopy Surveillance in Lynch Syndrome: A Longitudinal Study From a Large Tertiary Healthcare System
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Elena Gibson, Haojia Li, Judith Staub, Deb Neklason, Megan Keener, and Priyanka Kanth
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Lynch Syndrome ,Colorectal Cancer ,Colon Polyps ,Upper Endoscopy ,Surveillance ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background and Aims: Lynch syndrome (LS) is caused by pathogenic mutations in mismatch repair (MMR) genes. There are limited data on differences in colorectal cancer (CRC) surveillance by MMR genes, and an international consensus on surveillance based on genes is not established. We aimed to evaluate colonoscopy and esophagogastroduodenoscopy (EGD) surveillance outcomes and compare CRC surveillance findings by the mutated gene. Methods: One hundred one patients with LS were included and colonoscopy results were compared by MMR mutation. Primary outcomes included the development and recurrence of adenoma, CRC, high-grade dysplasia, advanced adenoma, and sessile serrated lesions. Logistic regressions evaluated the relationship between genes and the development or recurrence of primary outcomes. Survival analysis evaluated primary outcomes in patients with ≥ 2 colonoscopies. EGD results were summarized. Results: Three hundred twenty seven colonoscopies were reviewed. Compared to PMS2, MLH1 was associated with a higher risk of advanced adenoma/high-grade dysplasia/CRC development (odds ratio [OR] 9.85, 95% confidence interval [CI]: 1.97–77.24) and MSH2 was associated with a higher risk of adenoma development (OR 4.17, 95% CI: 1.11–17.61). Among those with > 2 colonoscopies, MLH1 (hazard ratio 18.98, 95% CI: 1.31–274.51) and MSH6 (hazard ratio 15.03, 95% CI: 1.16–194.65) had a higher risk of sessile serrated lesions compared to MSH2. Among patients who had adenoma detected once, MLH1 had a higher risk of adenoma recurrence compared to MSH6 (OR 14.59, 95% CI: 1.53–244.30) and PMS2 (OR 47.15, 95% CI: 4.26–984.28). MSH2 had a higher risk of adenoma recurrence compared to PMS2 (OR 11.89, 95% CI: 1.38–164.78). Of 170 EGDs, an actionable finding was identified in 16% of patients during their first 3 EGDs. Conclusion: Surveillance colonoscopy outcomes differed in patients with LS and suggest the need to guide surveillance based on MMR gene mutation.
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- 2024
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5. Lactate metabolism-related genes to predict the clinical outcome and molecular characteristics of endometrial cancer
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Rui Shi, Haojia Li, Sitian Wei, Zhicheng Yu, Jun Zhang, Qi Zhang, Ting Zhou, Yuwei Yao, Qian Zhang, Tangansu Zhang, and Hongbo Wang
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Endometrial cancer ,Lactate metabolism-related gene ,TIMM50 ,Proliferation ,Migration ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Metabolic reprogramming is one of hallmarks of cancer progression and is of great importance for the tumor microenvironment (TME). As an abundant metabolite, lactate has been found to play a critical role in cancer development and immunosuppression of TME. However, the potential role of lactate metabolism-related genes in endometrial cancer (EC) remains obscure. Methods RNA sequencing data and clinical information of EC were obtained from The Cancer Genome Atlas (TCGA) database. Lactate metabolism-related genes (LMRGs) WERE from Molecular Signature Database v7.4 and then compared the candidate genes from TCGA to obtain final genes. Univariate analysis and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression were performed to screen prognostic genes. A lactate metabolism-related risk profile was constructed using multivariate Cox regression analysis. The signature was validated by time-dependent ROC curve analysis and Kaplan-Meier analysis. The relationship between the risk score and age, grade, stage, tumor microenvironmental characteristics, and drug sensitivity was as well explored by correlation analyses. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway functional analysis between the high and low-risk groups were performed. CCK8, EdU, and clone formation assays were applied to detect the proliferation ability of EC cells, Transwell assay was performed to detect the migration ability of EC cells, and intracellular lactate and glucose content was used to asses lactate metabolism. Results We constructed a risk signature based on 18 LMRGs. Kaplan-Meier curves confirmed that the high-risk group had poorer prognosis compared to the low-risk group. A nomogram was then constructed to predict the probability of EC survival. We also performed GO enrichment analysis and KEGG pathway functional analysis between the high and low-risk groups, and the outcome revealed that the features were significantly associated with energy metabolism. There was a significant correspondence between LMRGs and tumor mutational load, checkpoints and immune cell infiltration. C1, C2, and C4 were the most infiltrated in the high-risk group. The high-risk group showed increased dendritic cell activation, while the low-risk group showed increased plasma cells and Treg cells. Drug sensitivity analysis showed LMRGs risk was more resistant to Scr kinase inhibitors. We further proved that one of the lactate metabolism related genes, TIMM50 could promote EC cell proliferation, migration and lactate metabolism. Conclusion In conclusion, we have established an effective prognostic signature based on LMRG expression patterns, which may greatly facilitate the assessment of prognosis, molecular features and treatment modalities in EC patients and may be useful in the future translation to clinical applications. TIMM50 was identified as a novel molecule that mediates lactate metabolism in vitro and in vivo, maybe a promising target for EC prognosis.
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- 2023
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6. Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer
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Yuli Chen, Haojia Li, Andrew Janowczyk, Paula Toro, Germán Corredor, Jon Whitney, Cheng Lu, Can F. Koyuncu, Mojgan Mokhtari, Christina Buzzy, Shridar Ganesan, Michael D. Feldman, Pingfu Fu, Haley Corbin, Aparna Harbhajanka, Hannah Gilmore, Lori J. Goldstein, Nancy E. Davidson, Sangeeta Desai, Vani Parmar, and Anant Madabhushi
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Prognostic markers currently utilized in clinical practice for estrogen receptor-positive (ER+) and lymph node-negative (LN−) invasive breast cancer (IBC) patients include the Nottingham grading system and Oncotype Dx (ODx). However, these biomarkers are not always optimal and remain subject to inter-/intra-observer variability and high cost. In this study, we evaluated the association between computationally derived image features from H&E images and disease-free survival (DFS) in ER+ and LN− IBC. H&E images from a total of n = 321 patients with ER+ and LN− IBC from three cohorts were employed for this study (Training set: D1 (n = 116), Validation sets: D2 (n = 121) and D3 (n = 84)). A total of 343 features relating to nuclear morphology, mitotic activity, and tubule formation were computationally extracted from each slide image. A Cox regression model (IbRiS) was trained to identify significant predictors of DFS and predict a high/low-risk category using D1 and was validated on independent testing sets D2 and D3 as well as within each ODx risk category. IbRiS was significantly prognostic of DFS with a hazard ratio (HR) of 2.33 (95% confidence interval (95% CI) = 1.02–5.32, p = 0.045) on D2 and a HR of 2.94 (95% CI = 1.18–7.35, p = 0.0208) on D3. In addition, IbRiS yielded significant risk stratification within high ODx risk categories (D1 + D2: HR = 10.35, 95% CI = 1.20–89.18, p = 0.0106; D1: p = 0.0238; D2: p = 0.0389), potentially providing more granular risk stratification than offered by ODx alone.
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- 2023
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7. Milk Fat Globule-EGF Factor 8 (MFGE8) Mitigates Cognitive Impairment in Rats with Sepsis-Associated Encephalopathy: An fMRI Study
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Haojia Li, Hongsen Liao, Lu Sun, Dejian Chen, Yong Fei, Ming Yao, Bing Huang, Xiaoyan Guo, Shaozheng Song, and Hongguang Bao
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microglial efferocytosis ,sepsis associated encephalopathy ,regional spontaneous neuronal activity ,milk fat globule egf factor 8 protein ,functional magnetic resonance imaging ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Background: Sepsis-associated encephalopathy (SAE) impairs hippocampal microglial efferocytosis, causing cognitive deficits. Previous research found that milk fat globule epidermal growth factor 8 protein (MFGE8) stimulates efferocytosis, reducing hippocampal inflammation in SAE rats. In this study, we explore MFGE8’s role in alleviating cognitive impairment and its impact on neural activity using functional magnetic resonance imaging (fMRI). Methods: Sixty male Sprague Dawley rats were divided into four groups: Sham, cecal ligation and puncture (CLP), CLP+MFGE8, and CLP+MFGE8+CGT (Cilengitide). After CLP, CLP+MFGE8 rats received intracerebroventricular MFGE8 (3.3 µg), while CLP+MFGE8+CGT rats received intraperitoneal Cilengitide (10 mg/kg). We assessed cognitive function with the Morris water maze and open field test over five days. Eight days post-surgery, rats underwent T2-weighted magnetic resonance imaging (MRI) and resting state (rs)-fMRI scans. Brain tissues were collected for western blot, hematoxylin-eosin (HE) staining, and immunofluorescence. Statistical analysis employed one-way analysis of variance (ANOVA) followed by Tukey’s post-test for multiple comparisons. Results: MFGE8 improved neurobehavioral performance in open field task (OFT) and morris water maze (MWM) tests. fMRI indicated a significant reduction in abnormal neural activity in the right hippocampal CA1, CA3, and dentate gyrus of SAE rats following MFGE8 treatment. Voxel-based morphometry (VBM) analysis revealed decreased high-signal areas in the hippocampus, along with reduced hippocampal volume due to alleviated neural edema. Western blot analysis demonstrated that MFGE8 enhanced ras-related C3 botulinum toxin substrate 1 (Rac1) and microtubule-associated protein 1A/1B-light chain 3 (LC3) expression in the rat hippocampus, while CGT reduced these protein levels. Behavioral experiments and fMRI results confirmed that CGT reversed the cognitive effects of MFGE8 by inhibiting microglial αVβ3/αVβ5 integrin receptors. Conclusions: Our findings show that MFGE8 reduced amplitude of low-frequency fluctuations (ALFF) values in the right hippocampal CA1, CA3, and the dentate gyrus, mitigating abnormal neural activity and decreasing hippocampal volume. This led to an improvement in cognitive dysfunction in SAE rats. These results suggest that MFGE8 enhances microglial efferocytosis by activating αVβ3 and αVβ5 integrin receptors on microglial surfaces, ultimately improving cognitive function in SAE rats.
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- 2024
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8. Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome
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Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cristian Barrera, Philipp Zens, Cheng Lu, Priya Velu, Patrick Leo, Niha Beig, Haojia Li, Paula Toro, Sabina Berezowska, Vipul Baxi, David Balli, Merzu Belete, David L. Rimm, Vamsidhar Velcheti, Kurt Schalper, and Anant Madabhushi
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Despite known histological, biological, and clinical differences between lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), relatively little is known about the spatial differences in their corresponding immune contextures. Our study of over 1000 LUAD and LUSC tumors revealed that computationally derived patterns of tumor-infiltrating lymphocytes (TILs) on H&E images were different between LUAD (N = 421) and LUSC (N = 438), with TIL density being prognostic of overall survival in LUAD and spatial arrangement being more prognostically relevant in LUSC. In addition, the LUAD-specific TIL signature was associated with OS in an external validation set of 100 NSCLC treated with more than six different neoadjuvant chemotherapy regimens, and predictive of response to therapy in the clinical trial CA209-057 (n = 303). In LUAD, the prognostic TIL signature was primarily comprised of CD4+ T and CD8+ T cells, whereas in LUSC, the immune patterns were comprised of CD4+ T, CD8+ T, and CD20+ B cells. In both subtypes, prognostic TIL features were associated with transcriptomics-derived immune scores and biological pathways implicated in immune recognition, response, and evasion. Our results suggest the need for histologic subtype-specific TIL-based models for stratifying survival risk and predicting response to therapy. Our findings suggest that predictive models for response to therapy will need to account for the unique morphologic and molecular immune patterns as a function of histologic subtype of NSCLC.
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- 2022
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9. Clinician documentation of patient centered care in the electronic health record
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Jorie M. Butler, Bryan Gibson, Olga V. Patterson, Laura J. Damschroder, Corrinne H. Halls, Daniel W. Denhalter, Matthew H. Samore, Haojia Li, Yue Zhang, and Scott L. DuVall
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Patient centered care ,Medical record review ,Contextual information ,Goals ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Abstract Background In this study we sought to explore the possibility of using patient centered care (PCC) documentation as a measure of the delivery of PCC in a health system. Methods We first selected 6 VA medical centers based on their scores for a measure of support for self-management subscale from a national patient satisfaction survey (the Survey for Healthcare Experience-Patients). We accessed clinical notes related to either smoking cessation or weight management consults. We then annotated this dataset of notes for documentation of PCC concepts including: patient goals, provider support for goal progress, social context, shared decision making, mention of caregivers, and use of the patient's voice. We examined the association of documentation of PCC with patients’ perception of support for self-management with regression analyses. Results Two health centers had
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- 2022
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10. The minimal clinically important difference of the Patient-Reported Outcomes Measurement Information System (PROMIS) physical function and upper extremity computer adaptive tests and QuickDASH in the setting of elbow trauma
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Dustin J. Randall, BS, Yue Zhang, PhD, Andrew P. Harris, MD, Yuqing Qiu, MS, Haojia Li, MS, Andrew R. Stephens, BS, and Nikolas H. Kazmers, MD, MSE
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Elbow ,Minimal clinically important difference (MCID) ,Orthopaedic/orthopedic trauma ,PROMIS upper extremity (UE) computer adaptive test ,PROMIS physical function (PF) computer adaptive test (CAT) ,QuickDash ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Background: Minimal clinically important difference (MCID) estimates are useful for gauging clinical relevance when interpreting changes or differences in patient-reported outcomes scores. These values are lacking in the setting of elbow trauma. Our primary purpose was to estimate the MCID of the Patient-Reported Outcomes Measurement Information System (PROMIS) physical function (PF) computer adaptive test (CAT), the PROMIS upper extremity (UE) CAT, and the QuickDASH using an anchor-based approach for patients recovering from elbow trauma and related surgeries. Secondarily, we aimed to estimate the MCID using the 1/2 standard deviation method. Materials & methods: Adult patients undergoing treatment for isolated elbow injuries between July 2014 and April 2020 were identified at a single tertiary academic medical center. Outcomes, including the PROMIS PF CAT v1.2/2.0, PROMIS UE CAT v1.2, and QuickDASH, were collected via a tablet computer. For inclusion, baseline (6 months before injury up to 11 days postoperatively or after injury) and follow-up (11 to 150 days postoperative or after injury) PF or UE CAT scores were required, as well as a response to an anchor question querying improvement in physical function. The MCID was calculated using (1) an anchor-based approach using the difference in mean score change between anchor groups reporting “No change” and “Slightly Improved/Improved” and (2) the 1/2 standard deviation method. Results: Of the 146 included patients, the mean age was 46 ± 18 years and 67 (46%) were women. Most patients (129 of 146 or 88%) were recovering from surgery, and the remaining 12% were recovering from nonoperatively managed fractures and/or dislocations. The mean follow-up was 157 ± 192 days. Scores for each instrument improved significantly between baseline and follow-up. Anchor-based MCID values were calculated as follows: 5.7, 4.6, and 5.3 for the PROMIS PF CAT, PROMIS UE CAT, and QuickDASH, respectively. MCID values estimated using the 1/2 standard deviation method were 4.3, 4.8, and 11.7 for the PROMIS PF CAT, PROMIS UE CAT, and QuickDASH, respectively. Conclusions: In the setting of elbow trauma, we propose MCID ranges of 4.3 to 5.7 for the PROMIS PF CAT, 4.6 to 4.8 for the PROMIS UE CAT, and 5.3 to 11.7 for the QuickDASH. These values will provide a framework for clinical relevance when interpreting clinical outcomes studies, or powering clinical trials, for populations recovering from trauma.
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- 2021
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11. Effects of ferulic acid on growth performance and intestinal oxidation indexes of Jilin white geese under lipopolysaccharide-induced oxidative stress.
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Yingkun Liu, Tao Zhang, Fangyuan Jia, Haojia Li, Meng Sun, Zengyu Fu, Haizhu Zhou, Wei Guo, and Yunhang Gao
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Medicine ,Science - Abstract
In geese breeding, due to the frequent influence of drugs and environmental and other factors, geese are extremely prone to oxidative stress, which adversely affects growth and development, geese meat quality, down production, and severely affects the development of the geese industry. Ferulic acid from plant extracts can be used as a feed additive, which is safe and non-toxic, and it can exert certain therapeutic effects on oxidative stress in geese. This experiment investigated the effect of ferulic acid on the growth performance, organs indices, and intestinal oxidative indices of Jilin white geese under lipopolysaccharide-induced oxidative stress. Geese were randomly divided into six groups: C (blank control), L (lipopolysaccharide control), F1 (60 mg/kg ferulic acid), F2 (120 mg/kg ferulic acid), F3 (180 mg/kg ferulic acid), and F4 (240 mg/kg ferulic acid). Groups L and F1-F4 were injected intraperitoneally with 0.5 mg/kg lipopolysaccharide and group C with an equivalent volume of normal saline on days 14,17 and 20, and 10 animals from each group were randomly selected for slaughter on day 21. The results showed that: 1) On day 14, the final body weight and average daily feed intake were significantly higher in group F3 than in group L, and on day 21, the final body weight was significantly higher in group F3 than in group L. 2) The thymus index was significantly higher in group F4 than in group L. 4) In the duodenum, MDA activity was reduced in group C compared with that in group L. 5) In the jejunum and ileum, MDA was significantly lower in group F3 than in group L. These results show that the addition of 180 mg/kg of ferulic acid to the diet can promote the growth of geese and alleviate the damage caused by oxidative stress in all intestinal segments.
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- 2023
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12. Disrupted metabolic and spontaneous neuronal activity of hippocampus in sepsis associated encephalopathy rats: A study combining magnetic resonance spectroscopy and resting-state functional magnetic resonance imaging
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Haojia Li, Hongsen Liao, Chen Zhang, Yajie Xu, Xiaomin Xu, Yuchen Chen, Shaozheng Song, Qian Li, Yanna Si, and Hongguang Bao
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cecal ligation and puncture (CLP) ,hydrogen proton magnetic resonance spectroscopy (1H-MRS) ,neural inflammation ,resting-state functional magnetic resonance imaging (rs-fMRI) ,sepsis-associated encephalopathy (SAE) ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
BackgroundThe diagnosis of sepsis associated encephalopathy (SAE) remains challenging in clinical settings because of a lack of specific biomarkers. Functional magnetic resonance imaging (fMRI) and proton magnetic resonance spectroscopy (1H-MRS) can be used to aid in the diagnosis of cognition related diseases. This study investigated changes in functional activities and brain metabolites in the hippocampus in SAE rats by fMRI and 1H-MRS.Materials and methodsSepsis associated encephalopathy rats underwent cecal ligation and perforation (CLP) surgery. The Morris water maze (MWM) test was then used to evaluate cognitive function. Resting state-fMRI and 1H-MRS scanning were performed 7 and 14 days after CLP surgery to reveal spontaneous neuronal activity and metabolite changes in the hippocampus. The amplitude of low-frequency fluctuation (ALFF) was used to evaluate spontaneous neuronal activity in the hippocampus. Creatine (Cr), Myo-inositol (mI), and glutamine/glutamate (Glx) levels were measured with 1H-MRS scanning. Immunofluorescence and levels of interleukin (IL)-1β, interleukin (IL)-6, and C-reactive protein (CRP) in the hippocampus were additionally detected to evaluate microglial mediated inflammatory responses. Statistical analysis was performed to evaluate correlations between hippocampal metabolism and behavioral findings.ResultsCecal ligation and perforation treated rats exhibited impaired learning and memory function in the MWM test at days 7 and 14. Elevation of IL-1β in the hippocampus, as well as immunofluorescence results, confirmed severe neuro inflammation in the hippocampus in SAE rats. Compared with the sham group, the ALFF of the right CA-1 area of the hippocampus was higher at day 7after CLP surgery. The Glx/Cr and mI/Cr ratios were enhanced at day 7 after CLP surgery and slightly lower at day 14 after CLP surgery. The ALFF value, and Glx/Cr and mI/Cr ratios were negatively correlated with time spent in the target quadrant in the MWM test.ConclusionSpontaneous neuronal activity and metabolites showed significant alterations in SAE rats. The elevated ALFF value, Glx/Cr ratio, and mI/Cr ratio in the hippocampus were positively associated with cognitive deficits. Changes in ALFF and metabolites in hippocampus may serve as potential neuroimaging biomarkers of cognitive disorders in patients with SAE.
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- 2022
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13. CXCR5 down-regulation alleviates cognitive dysfunction in a mouse model of sepsis-associated encephalopathy: potential role of microglial autophagy and the p38MAPK/NF-κB/STAT3 signaling pathway
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Yanan Shen, Yuan Zhang, Jiayue Du, Baochun Jiang, Tao Shan, Haojia Li, Hongguang Bao, and Yanna Si
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Sepsis-associated encephalopathy ,Neuroinflammation ,Autophagy ,CXCR5 ,p38MAPK ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Cognitive deficits are common in patients with sepsis. Previous studies in sepsis-associated encephalopathy (SAE) implicated the C-X-C chemokine receptor type (CXCR) 5. The present study used a mouse model of SAE to examine whether CXCR5 down-regulation could attenuate cognitive deficits. Methods Sepsis was induced in adult male C57BL/6 J and CXCR5 −/− mice by cecal ligation and puncture (CLP). At 14–18 days after surgery, animals were tested in a Morris water maze, followed by a fear conditioning test. Transmission electron microscopy of hippocampal sections was used to assess levels of autophagy. Primary microglial cultures challenged with lipopolysaccharide (LPS) were used to examine the effects of short interfering RNA targeting CXCR5, and to investigate the possible involvement of the p38MAPK/NF-κB/STAT3 signaling pathway. Results CLP impaired learning and memory and up-regulated CXCR5 in hippocampal microglia. CLP activated hippocampal autophagy, as reflected by increases in numbers of autophagic vacuoles, conversion of microtubule-associated protein 1 light chain 3 (LC3) from form I to form II, accumulation of beclin-1 and autophagy-related gene-5, and a decrease in p62 expression. CLP also shifted microglial polarization to the M1 phenotype, and increased levels of IL-1β, IL-6 and phosphorylated p38MAPK. CXCR5 knockout further enhanced autophagy but partially reversed all the other CLP-induced effects, including cognitive deficits. Similar effects on autophagy and cytokine expression were observed after knocking down CXCR5 in LPS-challenged primary microglial cultures; this knockdown also partially reversed LPS-induced up-regulation of phosphorylated NF-κB and STAT3. The p38MAPK agonist P79350 partially reversed the effects of CXCR5 knockdown in microglial cultures. Conclusions CXCR5 may act via p38MAPK/NF-κB/STAT3 signaling to inhibit hippocampal autophagy during sepsis and thereby contribute to cognitive dysfunction. Down-regulating CXCR5 can restore autophagy and mitigate the proinflammatory microenvironment in the hippocampus.
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- 2021
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14. Lower objectively and subjectively assessed numeracy are both associated with poorer self-rated health
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Natalie C. Benda, Zihan Yang, Haojia Li, Tianran Zhang, and Jessica S. Ancker
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Numeracy ,Health communication ,Health status ,Social determinants of health ,Medicine ,Biology (General) ,QH301-705.5 ,Science (General) ,Q1-390 - Abstract
Abstract Objective To compare an objective with a subjective numeracy assessment for association with self-reported health status, where numeracy refers to “the degree to which individuals have the capacity to access, process, interpret, communicate, and act on numerical, quantitative, graphical, biostatistical, and probabilistic health information needed to make effective health decisions” Results We completed a secondary analysis of two population-based surveys, the Empire State Poll (n = 763) and the Program for the International Assessment of Adult Competencies (PIAAC; n = 2609). The first survey assessed numeracy with a 3-item subjective instrument. The second assessed numeracy with more than 20 math problems. Both used the same measure for self-reported health status. Lower numeracy, whether subjectively or objectively assessed, was associated with worse self-reported health, even after controlling for education and other sociodemographic confounders. The odds ratios for the association were very similar (0.91 and 0.90 respectively). A lengthy objective numeracy assessment and a brief self-report assessment had similar associations with health status. A brief self-report measure of numeracy has similar properties to a lengthy objective assessment and is likely to be more feasible to use to screen patients in practice.
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- 2021
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15. Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation
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Haojia Li, Kaustav Bera, Paula Toro, PingFu Fu, Zelin Zhang, Cheng Lu, Michael Feldman, Shridar Ganesan, Lori J. Goldstein, Nancy E. Davidson, Akisha Glasgow, Aparna Harbhajanka, Hannah Gilmore, and Anant Madabhushi
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Collagen fiber organization has been found to be implicated in breast cancer prognosis. In this study, we evaluated whether computerized features of Collagen Fiber Orientation Disorder in Tumor-associated Stroma (CFOD-TS) on Hematoxylin & Eosin (H&E) slide images were prognostic of Disease Free Survival (DFS) in early stage Estrogen Receptor Positive (ER+) Invasive Breast Cancers (IBC). A Cox regression model named MCFOD-TS, was constructed using cohort St (N = 78) to predict DFS based on CFOD-TS features. The prognostic performance of MCFOD-TS was validated on cohort Sv (N = 219), a prospective clinical trial dataset (ECOG 2197). MCFOD-TS was prognostic of DFS in both St and Sv, independent of clinicopathological variables. Additionally, the molecular pathways regarding cell cycle regulation were identified as being significantly associated with MCFOD-TS derived risk scores. Our results also found that collagen fiber organization was more ordered in patients with short DFS. Our study provided a H&E image-based pipeline to derive a potential prognostic biomarker for early stage ER+ IBC without the need of special collagen staining or advanced microscopy techniques.
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- 2021
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16. Short Chain Fatty Acids Protect the Cognitive Function of Sepsis Associated Encephalopathy Mice via GPR43
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Hongsen Liao, Haojia Li, Hongguang Bao, Li Jiang, Jiayue Du, Yaoyi Guo, and Yanna Si
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sepsis-associated encephalopathy (SAE) ,cecal ligation and puncture (CLP) ,short chain fatty acids (SCFAs) ,gut microbiota (GM) ,cognitive dysfunction ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
ObjectiveThis study aims to analyze the changes of fecal short chain fatty acids (SCFAs) content and gut microbiota composition in sepsis associated encephalopathy (SAE) mice, further evaluating the effect of SCFAs on cognitive function and the underlying mechanism in SAE mice.MethodsA total of 55 male adult C57BL/6 mice (2–3 months of age, 20–25 g) were divided into four groups randomly: sham group (n = 10), cecal ligation and puncture group (CLP group, n = 15), CLP+SCFAs group (n = 15), and CLP+SCFAs+GLPG0974 group (n = 15). Seven days after surgery, fecal samples were collected for microbiota composition and SCFA analysis from 6 mice in each group randomly. Behavioral test was applied to assess cognitive impairment at the same time. After that, mice were sacrificed and brain tissue was harvested for inflammatory cytokines analysis.ResultsThe levels of acetic acid (.57 ± 0.09 vs 2.00 ± 0.24, p < 0.001) and propionic acid (.32 ± 0.06 vs .66 ± 0.12, p = 0.002) were significantly decreased in the CLP group compared with the sham group. The administration of SCFAs significantly increased the levels of acetic acid (1.51 ± 0.12 vs. 0.57 ± 0.09, p < 0.001) and propionic acid (0.54 ± 0.03 vs. 0.32 ± 0.06, p = 0.033) in CLP+SCFAs group compared with CLP group. Relative abundance of SCFAs-producing bacteria, including Allobaculum (0.16 ± 0.14 vs. 15.21 ± 8.12, p = 0.037), Bacteroides (1.82 ± 0.38 vs. 15.21 ± 5.95, p = 0.002) and Bifidobacterium (0.16 ± 0.06 vs. 2.24 ± 0.48, p = 0.002), significantly decreased in the CLP group compared with the sham group. The behavioral tests suggested that cognitive function was impaired in SAE mice, which could be alleviated by SCFAs pretreatment. ELISA tests indicated that the levels of IL-1β, IL-6, and TNF-α were elevated in SAE mice and SCFAs could lower them. However, the GPR43 antagonist, GLPG0974, could reverse the cognitive protective effect and anti-neuroinflammation effect of SCFAs.ConclusionOur study suggested that in SAE, the levels of acetate and propionate decreased significantly, accompanied by gut microbiota dysbiosis, particularly a decrease in SCFAs-producing bacteria. GPR43 was essential for the anti-neuroinflammation and cognitive protective effect of SCFAs in SAE.
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- 2022
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17. Dietary Magnesium Intake Modifies the Association Between Vitamin D and Systolic Blood Pressure: Results From NHANES 2007–2014
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Weichao Huang, Xiaoman Ma, Yue Chen, Jiayi Zheng, Haojia Li, Ayinigaer Nizhamu, Qingting Hong, and Xuguang Guo
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vitamin D ,dietary magnesium intake ,systolic blood pressure (SBP) ,interaction ,metabolism ,Nutrition. Foods and food supply ,TX341-641 - Abstract
IntroductionAlthough the association between blood pressure and vitamin D has been well studied, the effects of dietary magnesium intake on this relationship are still unclear. Thus, this study aimed to determine the effects of dietary magnesium intake on the association between vitamin D and blood pressure.MethodsThe present study analyzed data from the continuous the National Health and Nutrition Examination Survey (NHANES) 2007–2014. We included 8,799 participants aged 20 years or older. Multivariable linear regression was performed to assess the association between vitamin D and systolic blood pressure (SBP) and diastolic blood pressure (DBP). Dietary magnesium intake was stratified by low magnesium intake (
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- 2022
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18. Frequency of Thrombotic Risk Factors in Patients with Chronic Thromboembolic Pulmonary Hypertension and Acute Pulmonary Embolism: A Case-Control Study
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Mark W. Dodson MD, PhD, Meghan M. Cirulis MM, MD, Haojia Li MS, Zhang Yue PhD, Lynette M. Brown MD, PhD, and C. Gregory Elliott MD
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Chronic thromboembolic pulmonary hypertension (CTEPH) is a serious complication of acute pulmonary embolism (PE) which remains underdiagnosed. A better understanding of risk factors for CTEPH would improve our ability to predict which PE survivors are at risk. Several medical conditions—including malignancy, splenectomy, thyroid hormone supplementation, the presence of an intravascular device, inflammatory bowel disease, osteomyelitis, and non-O blood group—have been associated with increased risk of CTEPH, primarily in studies comparing patients with CTEPH to individuals with non-thrombotic conditions. Because many of these conditions increase thrombosis risk, it remains unclear whether their association with CTEPH reflects a general effect on thrombosis risk, or a specific effect on the risk of developing CTEPH as an outcome of thrombosis. We performed a case-control study comparing the frequencies of these conditions in patients with CTEPH versus patients with acute PE who did not develop CTEPH. The conditions studied were equally frequent in the CTEPH and PE cohorts, although there was a trend towards an increased frequency of splenectomy and non-O blood group among the CTEPH cohort. Thus, other than the possible exceptions of splenectomy and non-O blood group, the investigated medical conditions do not appear likely to increase the risk of CTEPH as an outcome of acute PE, and thus are unlikely to be useful in predicting CTEPH risk among PE survivors.
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- 2022
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19. Dietary Magnesium Intake Affects the Association Between Serum Vitamin D and Type 2 Diabetes: A Cross-Sectional Study
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Weichao Huang, Xiaoman Ma, Hualiang Liang, Haojia Li, Jiayu Chen, Liujia Fang, Qilin Yang, and Zhenhui Zhang
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magnesium ,vitamin D ,25(OH)D ,vitamin D (PubChem CID: 5280793) 2 ,vitamin D3 ,type 2 diabetes (T2DM) risk ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Introduction: Circulating vitamin D concentrations have been associated with the risk of type 2 diabetes (T2D). Magnesium has also been reported to be associated with lower T2D risk. Besides, magnesium is an essential cofactor for vitamin D activation. However, the effect of dietary magnesium intake on the association between vitamin D and the risk of T2D has not been studied comprehensively. Therefore, we designed this cross-sectional study to assess the effect modification of magnesium intake on the association between vitamin D and risk of T2D.Research Design and Methods: The present study analyzed data from the National Health and Nutrition Examination Survey (NHANES) continuously from 2007 to 2014, involving 10,249 participants. By having stratified participants based on magnesium intake category (low magnesium intake
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- 2021
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20. Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings
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Haojia Li, Jon Whitney, Kaustav Bera, Hannah Gilmore, Mangesh A. Thorat, Sunil Badve, and Anant Madabhushi
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Ductal carcinoma in situ ,Oncotype DX ,Quantitative histomorphometry ,Nucleus ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Oncotype DX (ODx) is a 12-gene assay assessing the recurrence risk (high, intermediate, and low) of ductal carcinoma in situ (pre-invasive breast cancer), which guides clinicians regarding prescription of radiotherapy. However, ODx is expensive, time-consuming, and tissue-destructive. In addition, the actual prognostic meaning for the intermediate ODx risk category remains unclear. Methods In this work, we evaluated the ability of quantitative nuclear histomorphometric features extracted from hematoxylin and eosin-stained slide images of 62 ductal carcinoma in situ (DCIS) patients to distinguish between the corresponding ODx risk categories. The prognostic value of the identified image signature was further evaluated on an independent validation set of 30 DCIS patients in its ability to distinguish those DCIS patients who progressed to invasive carcinoma versus those who did not. Following nuclear segmentation and feature extraction, feature ranking strategies were employed to identify the most discriminating features between individual ODx risk categories. The selected features were then combined with machine learning classifiers to establish models to predict ODx risk categories. The model performance was evaluated using the average area under the receiver operating characteristic curve (AUC) using cross validation. In addition, an unsupervised clustering approach was also implemented to evaluate the ability of nuclear histomorphometric features to discriminate between the ODx risk categories. Results Features relating to spatial distribution, orientation disorder, and texture of nuclei were identified as most discriminating between the high ODx and the intermediate, low ODx risk categories. Additionally, the AUC of the most discriminating set of features for the different classification tasks was as follows: (1) high vs low ODx (0.68), (2) high vs. intermediate ODx (0.67), (3) intermediate vs. low ODx (0.57), (4) high and intermediate vs. low ODx (0.63), (5) high vs. low and intermediate ODx (0.66). Additionally, the unsupervised clustering resulted in intermediate ODx risk category patients being co-clustered with low ODx patients compared to high ODx. Conclusion Our results appear to suggest that nuclear histomorphometric features can distinguish high from low and intermediate ODx risk category patients. Additionally, our findings suggest that histomorphometric features for intermediate ODx were more similar to low ODx compared to high ODx risk category.
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- 2019
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21. Sex Identification of Feather Color in Geese and the Expression of Melanin in Embryonic Dorsal Skin Feather Follicles
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Xiaohui Xu, Sihui Wang, Ziqiang Feng, Yupu Song, Yuxuan Zhou, Ichraf Mabrouk, Heng Cao, Xiangman Hu, Haojia Li, and Yongfeng Sun
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Holdobaggy goose ,feather follicles development ,melanin ,feather color ,sex determination ,Veterinary medicine ,SF600-1100 ,Zoology ,QL1-991 - Abstract
In production practice, we have found that the gray and black down on the backs of the Holdobaggy goslings is usually darker in females than in males. Melanin is the key pigment affecting the color of poultry plumage. Therefore, to determine whether the darkness of the dorsal plumage of the Holdobaggy goslings is related to sex, we study the melanin in the feather follicles of the dorsal skin during the embryonic period. The feather follicle structure and melanin distribution on the dorsal surface of the goose embryo is observed by HE staining and melanin-specific staining. The melanin content in the feather follicles of the dorsal skin of goslings is determined by ELISA. The results showed that the melanin content is higher in female geese than in males (p < 0.05). In addition, we also analyze the mRNA and protein expression levels of melanin-related genes (TYRP1 and ASIP) by quantitative real-time PCR and Western blotting analysis. The results show that the mRNA expression level of TYRP1 is significantly higher in the females’ dorsal skin feather follicles (p < 0.05), while the mRNA expression level of ASIP is significantly higher in the dorsal skin feather follicles of male geese (p < 0.05). In conclusion, the difference between males and females in the color of the black feathers on the dorsal track of the Holdobaggy goslings is verified, and it is feasible to identify the sex by the initial plumage color.
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- 2022
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22. FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes.
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Chen Feng 0006, Haojia Li, Mingjie Zhang, Xinyi Chen 0002, Boyu Zhou, and Shaojie Shen
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- 2024
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23. Impact-Aware Planning and Control for Aerial Robots With Suspended Payloads.
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Haokun Wang 0007, Haojia Li, Boyu Zhou, Fei Gao 0011, and Shaojie Shen
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- 2024
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24. PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction.
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Chen Feng 0006, Haojia Li, Fei Gao 0011, Boyu Zhou, and Shaojie Shen
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- 2023
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25. Microsaccade-inspired Event Camera for Robotics.
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Botao He, Ze Wang 0009, Yuan Zhou, Jingxi Chen, Chahat Deep Singh, Haojia Li, Yuman Gao, Shaojie Shen, Kaiwei Wang, Yanjun Cao, Chao Xu 0001, Yiannis Aloimonos, Fei Gao 0011, and Cornelia Fermüller
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- 2024
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26. AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation.
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Haojia Li, Haokun Wang 0007, Chen Feng 0006, Fei Gao 0011, Boyu Zhou, and Shaojie Shen
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- 2023
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27. Dual-Multivalent Aptamer-Based Drug Delivery Platform for Targeted SRC Silencing to Enhance Doxorubicin Sensitivity in Endometrial Cancer.
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Haojia Li, Shuangshuang Cheng, Qi Zhang, Ting Zhou, Tangansu Zhang, Shuangge Liu, Yingying Peng, Jia Yu, Jingwen Xu, Qi Wang, Jun Zhang, Yuwei Yao, and Hongbo Wang
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- 2024
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28. Event-VPR: End-to-End Weakly Supervised Deep Network Architecture for Visual Place Recognition Using Event-Based Vision Sensor.
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Delei Kong, Zheng Fang 0001, Kuanxu Hou, Haojia Li, Junjie Jiang, Sonya Coleman, and Dermot Kerr
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- 2022
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29. Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibility.
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Polina V. Kukhareva, Tanner J. Caverly, Haojia Li, Hormuzd A. Katki, Li C. Cheung, Thomas J. Reese, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Yue Zhang, Teresa Taft, Michael C. Flynn, and Kensaku Kawamoto
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- 2022
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30. FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes.
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Chen Feng 0006, Haojia Li, Jinqi Jiang, Xinyi Chen 0002, Shaojie Shen, and Boyu Zhou
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- 2023
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31. FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing.
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Botao He, Haojia Li, Siyuan Wu, Dong Wang, Zhiwei Zhang, Qianli Dong, Chao Xu 0001, and Fei Gao 0011
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- 2021
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32. Lung Cancer Screening Implementation in Primary Care Using an Electronic Health Record-integrated Shared Decision Making Tool and Clinician-facing Prompts.
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Polina V. Kukhareva, Douglas Martin, Isaac Warner, Salvador Rodriguez-Loya, Haojia Li, Yue Zhang, Tanner J. Caverly, Guilherme Del Fiol, and Kensaku Kawamoto
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- 2022
33. Links Among Attention-Deficit/Hyperactivity Disorder Symptoms and Psycholinguistic Abilities Are Different for Children With and Without Developmental Language Disorder.
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Redmond, Sean M., Ash, Andrea C., Haojia Li, and Yue Zhang
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HEALTH services accessibility ,ATTENTION-deficit hyperactivity disorder ,RESEARCH funding ,EXECUTIVE function ,RESEARCH evaluation ,PSYCHOLINGUISTICS ,LANGUAGE disorders ,CHILD development deviations ,ABILITY ,CASE-control method ,ANALYSIS of variance ,VOCABULARY ,SYMPTOMS - Abstract
Purpose: Both developmental language disorder (DLD) and attention-deficit/hyperactivity disorder (ADHD) represent relatively common and chronic neurodevelopmental conditions associated with increased risk for poor academic and interpersonal outcomes. Reports of common co-occurrence suggest these neurodevelopmental disruptions might also be linked. Most of the data available on the issue have been based on case-control studies vulnerable to ascertainment and other biases. Method: Seventy-eight children, representing four neurodevelopmental profiles (DLD, ADHD, co-occurring ADHD + DLD, and neurotypical development), were administered a battery of psycholinguistic tests. Parents provided standardized ratings of the severity of their children's inattention, hyperactivity/impulsivity, and executive function symptoms. Examiners were blinded to children's clinical status. Group differences, correlations, and best subset regression analyses were used to examine potential impacts of children's ADHD symptoms on their psycholinguistic abilities. Results: For children with DLD, significant links between their ADHD symptoms and psycholinguistic abilities were limited to the contributions of elevated hyperactivity/impulsivity symptoms to lower pragmatic abilities. For children without DLD, inattention symptoms contributed to lower levels of performance in pragmatic, sentence recall, receptive vocabulary, and narrative abilities. Discussion: Links among children's ADHD symptoms and their psycholinguistic abilities were different for children with and without DLD. Implications for the provision of clinical services are discussed. [ABSTRACT FROM AUTHOR]
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- 2024
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34. Swarm of micro flying robots in the wild.
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Xin Zhou 0015, Xiangyong Wen, Zhepei Wang, Yuman Gao, Haojia Li, Qianhao Wang, Tiankai Yang, Haojian Lu, Yanjun Cao, Chao Xu 0001, and Fei Gao 0011
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- 2022
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35. A SSD-based Crowded Pedestrian Detection Method.
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Wenjing Zhang, Lihua Tian, Chen Li 0033, and Haojia Li
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- 2018
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36. Major drivers of healthcare system costs and cost variability for routine atrial fibrillation ablation
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Brian Zenger, Haojia Li, T. Jared Bunch, Candice Crawford, James C. Fang, Christopher A. Groh, Rachel Hess, Leenhapong Navaravong, Ravi Ranjan, Jeff Young, Yue Zhang, and Benjamin A. Steinberg
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Cardiology and Cardiovascular Medicine - Published
- 2023
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37. Abstract P2-11-16: Computerized Measurements of Nuclear Morphology Features, Mitosis Rate, and Tubule Formation from H&E Images Predicts Disease-Free Survival in Patients with HR+ & LN+ Invasive Breast Cancer from SWOG S8814
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Yuli Chen, William E. Barlow, Haojia Li, Cheng Lu, Andrew Janowczyk, German Corredor, Shridar Ganesan, Michael Feldman, Pingfu Fu, Hannah Gilmore, Kathy S. Albain, Lajos Pusztai, James Rae, Daniel Hayes, Andrew K. Godwin, Alastair M. Thompson, and Anant Madabhushi
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Cancer Research ,Oncology - Abstract
Background: Lymph node (LN) involvement is a strong indicator of poor prognosis for breast cancer (BC), with adjuvant chemotherapy remaining fundamental to management of these patients. SWOG S8814 was a Phase III randomized trial of postmenopausal patients with pathologic LN-positive BC who were hormone receptor positive (HR+). The objectives of the clinical trial were to compare disease free survival (DFS) and overall survival (OS) of 1) these postoperative patients treated with a combination of cyclophosphamide, doxorubicin, fluorouracil (CAF) plus tamoxifen versus tamoxifen alone; and 2) patients treated with CAF followed by tamoxifen versus CAF plus concurrent tamoxifen. In this study we sought to evaluate the potential of applying computational image analysis on whole slide images (WSI) for predicting DFS and OS in SWOG S8814. Methods: A cohort of 135 patients (N=53 DFS event) diagnosed with HR+ & LN+ BC from clinical trial ECOG 2197 was utilized as training set D1. Validation set D2 comprised 630 patients (N=260 DFS event, N=195 death) with HR+& LN+ BC from SWOG S8814. Three deep learning models were employed to respectively detect nuclei, mitosis, and tubules in WSIs. Subsequently, a total of 1,810 features relating to nuclear morphology (e.g., spatial distribution, shape, texture, orientation), mitotic activity (e.g., mitosis hotspot, mitotic rates) and tubule formation (e.g., tubular nuclei distribution, ratio of tubule to non-tubule area) were extracted from each WSI. A lasso regularized Cox regression model (IbRiS) was trained on D1 to respectively identify four features from each of the feature categories (nuclei morphology, mitotic activity, and tubule formation) most strongly associated with DFS, a continuous risk score based on the selected features was then constructed. An optimal risk threshold was identified on D1 to dichotomize the risk scores into high vs. low risk of recurrence categories. Blinded validation of the machine learning model on SWOG S8814 using Cox regression was performed by SWOG to evaluate its performance in terms of DFS and OS. Results: In D2, patients identified as high risk of recurrence by IbRiS had a significantly worse prognosis in terms of DFS with hazard ratio=1.30 (p=0.039, 95% CI=1.01-1.66). IbRiS was also found to be significantly prognostic of OS with hazard ratio=1.38 (p=0.026, 95% CI=1.04-1.83). IbRiS was however, neither prognostic of DFS (HR = 1.20; 95% CI 0.93-1.54) nor OS (HR = 1.28; 95% CI 0.96-1.71) in multivariable analysis adjusting for treatment, tumor size, and number of positive nodes. IbRiS was also not a significant predictor of chemotherapy benefit (DFS p=0.45; OS p=0.25). Conclusion: We developed a prognostic model (IbRiS) based on the combined features of nuclear morphology, mitosis count, and tubule formation that can help further risk stratify HR+ & LN+ BC patients by only using H&E slides. Citation Format: Yuli Chen, William E. Barlow, Haojia Li, Cheng Lu, Andrew Janowczyk, German Corredor, Shridar Ganesan, Michael Feldman, Pingfu Fu, Hannah Gilmore, Kathy S. Albain, Lajos Pusztai, James Rae, Daniel Hayes, Andrew K. Godwin, Alastair M. Thompson, Anant Madabhushi. Computerized Measurements of Nuclear Morphology Features, Mitosis Rate, and Tubule Formation from H&E Images Predicts Disease-Free Survival in Patients with HR+ & LN+ Invasive Breast Cancer from SWOG S8814 [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-11-16.
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- 2023
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38. Abstract P2-11-11: Computer analysis of nuclear morphology with Multiple Instance Learning Predicts Overall Survival for Node Positive Breast Cancer Patients from SWOG S8814: A Blinded Validation Study
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Daniel Shao, William E. Barlow, Haojia Li, Cheng Lu, Kathy S. Albain, James Rae, Daniel F. Hayes, Andrew K. Godwin, Alastair M. Thompson, Anant Madabhushi, and Lajos Pusztai
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Cancer Research ,Oncology - Abstract
Background: Adjuvant chemotherapy is a common treatment for breast cancer patients with aggressive tumors, but imposes severe side effects. Although lymph node involvement is associated with higher likelihood of mortality, a subset of LN+ patients can survive without relapse, even without adjuvant chemotherapy. SWOG-8814 (S8814) was a randomized clinical trial of hormone receptor positive, LN+ post-menopausal women (pathologic stage T1-3N1-2) to compare patient outcome between endocrine therapy alone (tamoxifen), chemotherapy (cyclophosphamide, doxorubicin, and 5-fluorouracil) followed by 5 years of tamoxifen, and chemotherapy with concurrent tamoxifen. In this work, we evaluated the ability of a machine learning approach called multiple instance learning (MIL) to predict long-term overall (OS) and disease-free survival (DFS) in patients from the S8814 clinical trial via analysis of digitized H&E tissue slides. Methods: The training set (St, n=121) consisted of digitized H&E Whole Slide Images (WSIs) of ER+ LN+ patients from ECOG-2197 - a clinical trial to compare patient outcome under chemotherapy with doxorubicin/docetaxel vs. doxorubicin/cyclophosphamide. For each WSI, the nuclei of ten tumor patches (2000 × 2000 pixels) were automatically segmented by a pretrained machine learning algorithm called Convolutional Neural Networks (CNN). The results of the CNN’s segmentations were used to obtain ten corresponding feature vectors of 3963 features relating to nuclear morphology and spatial arrangement. Five top discriminative features (Haralick texture, Delaunay triangulation, orientation entropy, perimeter kurtosis, architecture) were identified by reliefF-MI feature filtering and forward selection on St. A Normalized Set Kernel Support Vector Machine classifier was trained on St to construct a MIL binary classifier (M+), which generates a continuous survival score to predict which patients would have >10-years of DFS and OS. The score cutoff thatmaximized F1 score on St was used to generate binary predictions of patient outcome. Blinded validation of the risk scores on S8814 was performed by SWOG. Results: M+ was significantly prognostic of OS in univariate analysis (HR=0.72, p=0.020, 95% CI= 0.55 – 0.95) on S8814. M+ stratifications remained statistically significant after multivariable analysis controlling for treatment, number of positive lymph nodes, and tumor size (HR = 0.71, p=0.017, 95% CI=0.54-0.94). M+ predictions did not achieve statistical significance for DFS in univariate analysis (HR=0.81, p=0.081, 95% CI 0.64-1.03) nor multivariable analysis (HR=0.81, p=0.080, 95% CI 0.63-1.03). M+ was not predictive of chemotherapy benefit for OS (p=0.88) and DFS (p=0.65). There was no correlation of the generated continuous score with Recurrence Score (r=-0.05), previously shown to be a predictive factor for chemotherapy benefit. Conclusion: Our findings demonstrate that nuclear morphology provides insight into overall survival in ER+ LN+ breast cancer patients. Future work will involve combining the MIL based morphologic predictor with other clinicopathologic factors to improve DFS risk stratification. Funding: Funding NIH/NCI grants U10CA180888, U10CA180819, U24CA196175; and in part by Genomic Health, INC. (now Exact Sciences Corp.) Citation Format: Daniel Shao, William E. Barlow, Haojia Li, Cheng Lu, Kathy S. Albain, James Rae, Daniel F. Hayes, Andrew K. Godwin, Alastair M. Thompson, Anant Madabhushi, Lajos Pusztai. Computer analysis of nuclear morphology with Multiple Instance Learning Predicts Overall Survival for Node Positive Breast Cancer Patients from SWOG S8814: A Blinded Validation Study [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-11-11.
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- 2023
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39. Dynamic variation and deterioration mechanism of the friction coefficient between tire and pavement under the icy and snowy circumstances
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Haojia Li, Cancan Song, Zhongyin Guo, and Ning Xu
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Mechanics of Materials ,Civil and Structural Engineering - Published
- 2022
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40. Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition.
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Delei Kong, Zheng Fang 0001, Haojia Li, Kuanxu Hou, Sonya Coleman, and Dermot Kerr
- Published
- 2020
41. Antibody-mediated depletion of programmed death 1-positive (PD-1+) cells
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Yujia, Zhai, Shuyun, Dong, Haojia, Li, Yue, Zhang, Paul, Shami, and Mingnan, Chen
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Mice ,Immunoglobulin G ,Programmed Cell Death 1 Receptor ,Animals ,Pharmaceutical Science ,Apoptosis ,Receptors, Fc ,Autoimmune Diseases - Abstract
PD-1 immune checkpoint has been intensively investigated in pathogenesis and treatments for cancer and autoimmune diseases. Cells that express PD-1 (PD-1
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- 2022
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42. Microsaccade-inspired Event Camera for Robotics
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Botao He, Ze Wang, Yuan Zhou, Jingxi Chen, Chahat Deep Singh, Haojia Li, Yuman Gao, Kaiwei Wang, Yanjun Cao, Chao Xu, Yiannis Aloimonos, Fei Gao, and Cornelia Ferm ̈uller
- Abstract
Software Release of "Microsaccade-inspired Event Camera for Robotics"
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- 2023
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43. Implementation of Lung Cancer Screening in Primary Care and Pulmonary Clinics
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Polina V. Kukhareva, Haojia Li, Tanner J. Caverly, Guilherme Del Fiol, Angela Fagerlin, Jorie M. Butler, Rachel Hess, Yue Zhang, Teresa Taft, Michael C. Flynn, Chakravarthy Reddy, Douglas K. Martin, Isaac A. Warner, Salvador Rodriguez-Loya, Phillip B. Warner, and Kensaku Kawamoto
- Subjects
Pulmonary and Respiratory Medicine ,Cardiology and Cardiovascular Medicine ,Critical Care and Intensive Care Medicine - Published
- 2023
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44. Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation.
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Sara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu 0005, Leland Metheny, and Anant Madabhushi
- Published
- 2020
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45. Establishing the Minimal Clinically Important Difference and Substantial Clinical Benefit for the Pain Visual Analog Scale in a Postoperative Hand Surgery Population
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Dustin J, Randall, Yue, Zhang, Haojia, Li, James C, Hubbard, and Nikolas H, Kazmers
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Adult ,Treatment Outcome ,Visual Analog Scale ,Minimal Clinically Important Difference ,Humans ,Pain ,Orthopedics and Sports Medicine ,Surgery ,Hand ,Article - Abstract
BACKGROUND: Although the pain visual analog scale (VAS-pain) is a ubiquitous patient-reported outcome instrument, it remains unclear how to interpret changes in scores. Therefore, our purpose was to calculate the minimal clinically important difference (MCID) and substantial clinical benefit (SCB) for the VAS-pain instrument in a non-shoulder hand and upper extremity postoperative population. METHODS: Adult postoperative patients treated by one of five fellowship-trained orthopaedic hand surgeons at a single tertiary academic medical center were identified. Inclusion required VAS-pain scores at baseline (up to 3 months preoperatively) and follow-up (up to 4 months postoperatively) in addition to a response to a pain-specific anchor question at follow-up. MCID estimates were calculated with 1) the 1/2 standard deviation (SD) method and 2) an anchor-based approach. SCB estimates were calculated with 1) an anchor-based approach and 2) a receiver operator curve (ROC) method that maximized the sensitivity and specificity for detecting a “Much improved” status. RESULTS: A total of 667 and 148 patients were included in the MCID and SCB analyses, respectively. The 1/2 SD MCID estimate was 1.6, and the anchor-based estimate was 1.9. The anchor-based SCB estimate was 2.2. ROC analysis yielded an SCB estimate of 2.6, with an area under the curve of 0.72 consistent with acceptable discrimination. CONCLUSIONS: We propose MCID values in the range of 1.6 to 1.9 and SCB values in the range of 2.2 to 2.6 for the VAS-pain instrument in a non-shoulder hand and upper extremity postoperative population. CLINICAL RELEVANCE: These MCID and SCB estimates may be useful for powering clinical studies, and when interpreting VAS-Pain score changes or differences reported in the hand surgery literature. These values are to be applied at a population level, and should not be applied to assess the improvement, or lack thereof, for individual patients.
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- 2022
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46. Patient‐reported outcomes and costs associated with vascular closure and same‐day discharge following atrial fibrillation ablation
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Benjamin A. Steinberg, Shannon Woolley, Haojia Li, Candice Crawford, Christopher A. Groh, Leenhapong Navaravong, Ravi Ranjan, Brian Zenger, Yue Zhang, and T. Jared Bunch
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Male ,Hemostasis ,Treatment Outcome ,Physiology (medical) ,Atrial Fibrillation ,Catheter Ablation ,Humans ,Female ,Patient Reported Outcome Measures ,Cardiology and Cardiovascular Medicine ,Patient Discharge ,Aged - Abstract
We aimed to measure patient-reported outcomes (PROs) and costs associated with same-day discharge (SDD) for atrial fibrillation (AF) ablation and vascular closure device implantation in clinical practice.PROs were prospectively measured in 50 AF ablation patients, comparing complete vascular device closure (n = 25) versus manual compression hemostasis (n = 25). Health-system costs for SDD patients receiving vascular device closure were compared to matched controls with one-night stays who did not receive any closure device.Prospectively enrolled patients receiving vascular device closure for AF ablation had a mean age of 65 years, 17% were female, with a mean CHAVascular closure for AF ablation improves patient experience in routine care. The use of vascular closure and SDD after AF ablation reduces several components of healthcare system costs, without an overall increase.
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- 2022
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47. Minimal Clinically Important Differences of PROMIS PF in Ankle Fracture Patients
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Luke Myhre, Patrick Kellam, Graham Dekeyser, Haojia Li, Yue Zhang, Amy M. Cizik, and Justin Haller
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Male ,Minimal Clinically Important Difference ,Humans ,Female ,Orthopedics and Sports Medicine ,Surgery ,Patient Reported Outcome Measures ,Prospective Studies ,Ankle ,Middle Aged ,Ankle Fractures ,Article - Abstract
Background: Evaluating the minimal clinically important differences (MCIDs) in patient-reported outcome scores is essential for use of clinical outcomes data. The purpose of the current study was to calculate MCID of Patient Reported Outcome Information System Physical Function (PROMIS PF) scores for ankle fracture patients. Methods: All patients who underwent operative fixation for ankle fractures at a single level 1 trauma center were identified by Current Procedural Terminology code. PROMIS PF scores were collected. Patients had to complete an anchor question at 2 time points postoperatively to be included in this study. Anchor-based and distribution-based MCIDs were calculated. Results: A total of 331 patients were included in the distribution-based analysis, and 195 patients were included in the anchor-based analysis. Mean age was 45.3 years (SD 17.5), and 59.4% of participants were female. MCID for PROMIS PF scores was 5.05 in the distribution-based method and 5.43 in the anchor-based method. Conclusion: This study identified MCID values based on 2 time points postoperatively for PROMIS PF scores in the ankle fracture population. Both methods of MCID calculation resulted in equivalent MCIDs. This can be used to identify patients outside the normal preoperative and postoperative norms and may help to make clinically relevant practice decisions. Level of Evidence: Level I, diagnostic study, testing of previously developed diagnostic measure on consecutive patients with reference standard applied.
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- 2022
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48. Signature identification based on immunogenic cell death-related lncRNAs to predict the prognosis and immune activity of patients with endometrial carcinoma
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Yuwei Yao, Qi Zhang, Sitian Wei, Haojia Li, Jiarui Zhang, Jun Zhang, and Hongbo Wang
- Abstract
Background: Endometrial carcinoma (EC) is one of the most prevalent gynecologic malignancies and requires further classification for treatment and prognosis. Long non-coding RNAs (lncRNAs) and immunogenic cell death play a critical role in tumor progression. Nevertheless, the role of lncRNAs in immunogenic cell death in EC remains unclear. This study aimed to explore the role of immunogenic cell death (ICD) related-lncRNAs in EC via bioinformatics and establish a prognostic risk model based on the ICD related-lncRNAs. We also explored immune infiltration and immune cell function across prognostic groups and made treatment recommendations. Methods: A total of 552 EC samples and clinical data of 548 EC patients were extracted from The Cancer Genome Atlas (TCGA) database and UCSC Xena, respectively. A prognostic-related feature and risk model were developed using the least absolute shrinkage and selection operator (LASSO). Subtypes were classified with consensus cluster analysis and validated with t-Distributed Stochastic Neighbor Embedding (tSNE). Kaplan-Meier analysis was conducted to assess differences in survival. Infiltration by immune cells was estimated by ssGSEA, TIMER algorithm. By using the "pRRophetic" R package, the IC50 of drugs was compared among risk subgroups. Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) was performed to verify the expression of lncRNA in clinical EC tissues and cell lines. Result: In total, 16 immunogenic cell death-related lncRNAs with prognostic values were identified. Using SCARNA9, FAM198B-AS1, FKBP14-AS1, FBXO30-DT, LINC01943, and AL161431.1 as risk model, their predictive accuracy and discrimination were assessed. We divided EC patients into high-risk and low-risk groups based on the risk model. The analysis showed that the risk model was an independent prognostic factor. The prognosis of the high- and low-risk groups was different, and the overall survival (OS) of the high-risk group was lower. The low-risk group had higher immune cell infiltration and immune scores. Consensus clustering analysis divided the samples into four subtypes, of which cluster 4 had higher immune cell infiltration and immune scores. Conclusion:A prognostic signature composed of 6 immunogenic cell death related-lncRNAs in EC was established, and a risk model based on this signature can be used to predict the prognosis of patients with EC.
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- 2023
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49. Minimal Clinically Important Differences of Patient Reported Outcome Information System Physical Function in Tibial Shaft Fracture Patients
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Tyler Thorne, Patrick Kellam, Chase Nelson, Haojia Li, Yue Zhang, Amy Cizik, Lucas Marchand, and Justin M. Haller
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Orthopedics and Sports Medicine ,Surgery ,General Medicine - Published
- 2023
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50. Histone lactylation promotes malignant progression by facilitating USP39 expression to target PI3K/AKT/HIF-1α signal pathway in endometrial carcinoma
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Hongbo Wang, Sitian Wei, Jun Zhang, Rong Zhao, Rui Shi, Lanfen An, Zhicheng Yu, Qi Zhang, Jiarui Zhang, Yuwei Yao, and Haojia Li
- Abstract
Histone lactylation has been reported to involve in tumorigenesis and development. However, its biological regulatory mechanism in endometrial carcinoma (EC) is yet to be reported in detail. In the present study, we evaluated the expression of global lactylation in EC tissues by immunohistochemistry and western blot, and it was elevated. The non-metabolizable glucose analog 2-deoxy-d-glucose (2-DG) and oxamate treatment could decrease the level of lactylation so as to inhibit the proliferation and migration ability, induce apoptosis significantly, and arrest the cell cycle of EC cells. Mechanically, histone lactylation stimulated USP39 expression to promote tumor progression. Moreover, USP39 activated PI3K/AKT/HIF-1α signaling pathway via interacting with and stabilizing PGK1 to stimulate glycolysis. The results of present study suggest that histone lactylation plays an important role in the progression of EC by promoting the malignant biological behavior of EC cells, thus providing insights into potential therapeutic strategies for endometrial cancer.
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- 2023
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