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| 1 | Helper T cell differentiation显示文摘CD4^(+)T helper cells are key regulators of host health and disease.In the original model,specialized subsets of T helper cells are generated following activation through lineage-specifying cytokines and transcriptional programs,but recent studies have revealed increasing complexities for CD4^(+)T-cell differentiation.Here,we first discuss CD4^(+)T-cell differentiation from a historical perspective by highlighting the major studies that defined the distinct subsets of T helper cells.We next describe the mechanisms underlying CD4^(+)T-cell differentiation,including cytokine-induced signaling and transcriptional networks.We then review current and emerging topics of differentiation,including the plasticity and heterogeneity of T cells,the tissue-specific effects,and the influence of cellular metabolism on cell fate decisions.Importantly,recent advances in cutting-edge approaches,especially systems biology tools,have contributed to new concepts and mechanisms underlying T-cell differentiation and will likely continue to advance this important research area of adaptive immunity. | Jordy Saravia Nicole M.Chapman Hongbo Chi | 2019 | Cellular & Molecular Immunology2019，16，7： | 25 |
| 2 | Signaling networks in immunometabolism显示文摘Adaptive immunity is essential for pathogen and tumor eradication,but may also trigger uncontrolled or pathological inflammation.T cell receptor,co-stimulatory and cytokine signals coordinately dictate specific signaling networks that trigger the activation and functional programming of T cells.In addition,cellular metabolism promotes T cell responses and is dynamically regulated through the interplay of serine/threonine kinases,immunological cues and nutrient signaling networks.In this review,we summarize the upstream regulators and signaling effectors of key serine/threonine kinase-mediated signaling networks,including PI3K-AGC kinases,mTOR and LKB1-AMPK pathways that regulate metabolism,especially in T cells.We also provide our perspectives about the pending questions and clinical applicability of immunometabolic signaling.Understanding the regulators and effectors of immunometabolic signaling networks may uncover therapeutic targets to modulate metabolic programming and T cell responses in human disease. | Jordy Saravia Jana L.Raynor Nicole M.Chapman Seon Ah Lim Hongbo Chi | 2020 | Cell Research2020，30，4： | 9 |
| 3 | Antropyloroduodenal, cholecystokinin and feeding responses to pulsatile and non‐pulsatile intraduodenal lipid infusion显示文摘 | R.VOZZO Y‐C.SU R. J.FRASER G. A.WITTERT M.HOROWITZ C. H.MALBERT A.SHULKES T.VOLOMBELLO I. M.CHAPMAN | 2002 | Neurogastroenterology & Motility2002，，1： | 1 |
| 4 | Is clinically measured knee range of motion after total knee arthroplasty‘good enough?’:A feasibility study using wearable inertial measurement units to compare knee range of motion captured during physical therapy versus at home显示文摘Total knee arthroplasty is highly successful,in part due to range of motion(RoM)recovery.This is typically estimated goniometrically/visually by physical therapists(PTs)in the clinic,which is imprecise.Accordingly,a validated inertial measurement unit(IMU)method for capturing knee RoM was deployed assessing postoperative RoM both in and outside of the clinical setting.The study's objectives were to evaluate the feasibility of continuously capturing knee RoM pre-/post-op via IMUs,dividing data into PT/non-PT portions of each day,and comparing PT/non-PT metrics.We hypothesized IMU-based clinical knee RoM would differ from IMU-based knee RoM captured outside clinical settings.10 patients(3 M,69±13 years)completed informed consent documents following ethics board approval.A validated IMU method captured long duration(8–12 h/day,~50 days)knee RoM pre-/post-op.Post-op metrics were subdivided(PT versus non-PT).Clinical RoM and patient reported outcome measures were also captured.Compliance and clinical disruption were evaluated.ANOVA compared post-op PT and non-PT means and change scores.Maximum flexion during PT was less than outside PT.PT stance/swing RoM and activity level were greater than outside PT.No temporal variable differences were found PT versus non-PT.IMU RoM measurements capture richer information than clinical measures.Maximum PT flexion was likely less than non-PT due to the exercises completed(i.e.high passive RoM vs.low RoM gait).PT gait flexion likely exceed non-PT because of‘white coat effects’wherein patients are closely monitored clinically.This implies data captured clinically represents optimum performance whereas data captured non-clinically represents realistic performance. | Ryan M.Chapman Wayne E.Moschetti Douglas W.Van Citters | 2021 | Medicine in Novel Technology and Devices2021，，3： | 1 |
| 5 | Biological implications of sulfide in sediment—a review focusing on sediment toxicity显示文摘 | FeiyueWang Peter M.Chapman | 2009 | Environmental Toxicology and Chemistry2009，，11： | 1 |
| 6 | A gyroscope-based system for intraoperative measurement of tibia coronal plane alignment in total knee arthroplasty显示文摘Coronal plane alignment in total knee arthroplasty(TKA)is an important predictor of clinical outcomes including patient satisfaction and device longevity.Radiography and computer assisted navigation are the two primary technologies currently available to surgeons for intraoperative assessment of alignment;however,neither is particularly well-suited for use in this increasingly high volume procedure.Herein we propose a novel gyroscopebased instrument for intraoperative validation of tibia coronal plane alignment,and provide initial analytical and experimental performance assessments.The gyroscope-based alignment estimate is derived from simplified joint geometry and verified experimentally using a custom tibial trial insert containing a consumer-grade inertial measurement unit(IMU).Average accuracy of the gyroscope-based tibia coronal angle estimate was found to be within1in mechanical leg jig and cadaver testing.These results indicate that the proposed gyroscope-based method shows promise for low cost,accurate intraoperative validation of limb alignment in TKA patients.Integrating IMU technology into the TKA surgical workflow via low-cost instrumentation will enable surgeons to easily validate implant alignment in real time,thereby reducing cost,operating room time,and future revision burden. | Michael A.Kokko Ryan M.Chapman Martin W.Roche Douglas W.Van Citters | 2022 | Medicine in Novel Technology and Devices2022，，1： | 0 |
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