A whole genome scale proteome array consisting of 908 open reading frames encoded in Chlamydia trachomatis genome and plasmid was used to profile anti-chlamydial Ab responses. A total of 719 chlamydial proteins was recognized by one or more antisera from 99 women urogenitally infected with C. trachomatis. Revealing such a large C. trachomatis ANTIGENome in humans might partially be attributed to the significantly improved detection sensitivity of the whole genome scale proteome array assay because both linear and conformation-dependent Abs were detected by the array assay. Twenty-seven of the 719 Ags were recognized by ≥50% antisera, thus designated as immunodominant Ags. Comparison of Ag profiles recognized by live chlamydial organism-infected versus dead organism-immunized hosts led to the identification of infection-dependent or in vivo expressed Ags. The infection-dependent Ags induced Abs only in live organism-infected, but not in dead organism-immunized hosts. Many of these Ags were highly expressed during replication, but only minimally packaged into the infectious elementary bodies. Because inactivated whole chlamydial organism-based vaccines failed to induce protection in humans, identification of the infection-dependent or in vivo expressed immunodominant Ags in humans should greatly facilitate the selection of promising chlamydial subunit vaccine candidates for further evaluation. This approach may also be applicable to other pathogens.
We provide a new formulation for the problem of learning the optimal classification tree of a given depth as a binary linear program. A limitation of previously proposed Mathematical Optimization formulations is that they create constraints and variables for every row in the training data. As a result, the running time of the existing Integer Linear programming (ILP) formulations increases dramatically with the size of data. In our new binary formulation, we aim to circumvent this problem by making the formulation size largely independent from the training data size. We show experimentally that our formulation achieves better performance than existing formulations on both small and large problem instances within shorter running time.
OBJECTIVE The objective of the study was to assess antibodies against Chlamydia trachomatis heat shock proteins (HSP) in patients with tubal factor infertility (TFI), infertility controls (IFC), and fertile controls (FC). HSPs assist organisms in surviving caustic environments such as heat. STUDY DESIGN Twenty-one TFI, 15 IFC, and 29 FC patients were enrolled after laparoscopic tubal assessment. The titers of antibodies against C trachomatis organisms and 14 chlamydial HSPs were compared among the 3 groups. RESULTS TFI patients developed significantly higher levels of antibodies against C trachomatis and specifically recognizing chlamydial HSP60 and caseinolytic protease (Clp) P, a subunit of the ATP-dependent Clp protease complex involved in the degradation of abnormal proteins. CONCLUSION In addition to confirming high titers of antibodies against C trachomatis organisms and HSP60 in TFI patients, we identified a novel link of TFI with anti-ClpP antibodies. These findings may provide useful information for developing a noninvasive screening test for TFI and constructing subunit anti-C trachomatis vaccines.
Objective: To investigate the correlation between clinical characteristics and cardiac injury of COVID-2019 pneumonia.
Inflammation is a pivotal driver of atherosclerotic plaque progression and rupture and is a target for identifying vulnerable plaques. However, challenges arise with the current in vivo imaging modalities for differentiating vulnerable atherosclerotic plaques from stable plaques due to their low specificity and sensitivity. Herein, we aimed to develop a novel multimodal imaging platform that specifically targets and identifies high-risk plaques in vivo by detecting active myeloperoxidase (MPO), a potential inflammatory marker of vulnerable atherosclerotic plaque. Methods: A novel multimodal imaging agent, 5-HT-Fe 3 O 4 -Cy7 nanoparticles (5HFeC NPs), used for active MPO targeting, was designed by conjugating superparamagnetic iron oxide nanoparticles (SPIONs) with 5-hydroxytryptamine and cyanine 7 N-hydroxysuccinimide ester. The specificity and sensitivity of 5HFeC NPs were evaluated using magnetic particle imaging (MPI), fluorescence imaging (FLI), and computed tomographic angiography (CTA) in an ApoE -/- atherosclerosis mouse model. Treatment with 4-ABAH, an MPO inhibitor, was used to assess the monitoring ability of 5HFeC NPs. Results: 5HFeC NPs can sensitively differentiate and accurately localize vulnerable atherosclerotic plaques in ApoE -/- mice via MPI/FLI/CTA. High MPI and FLI signals were observed in atherosclerotic plaques within the abdominal aorta, which were histologically confirmed by multiple high-risk features of macrophage infiltration, neovascularization, and microcalcification. Inhibition of active MPO reduced accumulation of 5HFeC NPs in the abdominal aorta. Accumulation of 5HFeC NPs in plaques enabled quantitative evaluation of the severity of inflammation and monitoring of MPO activity. Conclusions: This multimodal MPI approach revealed that active MPO-targeted nanoparticles might serve as a method for detecting vulnerable atherosclerotic plaques and monitoring MPO activity.
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