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Wu W, Sun Z, Gao H, Nan Y, Pizzella S, Xu H, Lau J, Lin Y, Wang H, Woodard PK, Krigman HR, Wang Q, Wang Y. Whole cervix imaging of collagen, muscle, and cellularity in term and preterm pregnancy. Nat Commun 2024; 15:5942. [PMID: 39030173 PMCID: PMC11271604 DOI: 10.1038/s41467-024-48680-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 05/08/2024] [Indexed: 07/21/2024] Open
Abstract
Cervical softening and dilation are critical for the successful term delivery of a fetus, with premature changes associated with preterm birth. Traditional clinical measures like transvaginal ultrasound and Bishop scores fall short in predicting preterm births and elucidating the cervix's complex microstructural changes. Here, we introduce a magnetic resonance diffusion basis spectrum imaging (DBSI) technique for non-invasive, comprehensive imaging of cervical cellularity, collagen, and muscle fibers. This method is validated through ex vivo DBSI and histological analyses of specimens from total hysterectomies. Subsequently, retrospective in vivo DBSI analysis at 32 weeks of gestation in ten term deliveries and seven preterm deliveries with inflammation-related conditions shows distinct microstructural differences between the groups, alongside significant correlations with delivery timing. These results highlight DBSI's potential to improve understanding of premature cervical remodeling and aid in the evaluation of therapeutic interventions for at-risk pregnancies. Future studies will further assess DBSI's clinical applicability.
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Affiliation(s)
- Wenjie Wu
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Zhexian Sun
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Hansong Gao
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Electrical & Systems Engineering, Washington University, St. Louis, MO, USA
| | - Yuan Nan
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Electrical & Systems Engineering, Washington University, St. Louis, MO, USA
| | - Stephanie Pizzella
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Haonan Xu
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, MO, USA
| | - Josephine Lau
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yiqi Lin
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Electrical & Systems Engineering, Washington University, St. Louis, MO, USA
| | - Hui Wang
- Department of Physics, Washington University, St. Louis, MO, USA
| | - Pamela K Woodard
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Hannah R Krigman
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Qing Wang
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
- Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, MO, USA.
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Yong Wang
- Department of Obstetrics & Gynecology, Washington University School of Medicine, St. Louis, MO, USA.
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
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Chen H, Ferguson CJ, Mitchell DC, Titus A, Paulo JA, Hwang A, Lin TH, Yano H, Gu W, Song SK, Yuede CM, Gygi SP, Bonni A, Kim AH. The Hao-Fountain syndrome protein USP7 regulates neuronal connectivity in the brain via a novel p53-independent ubiquitin signaling pathway. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.24.563880. [PMID: 37961719 PMCID: PMC10634808 DOI: 10.1101/2023.10.24.563880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Precise control of protein ubiquitination is essential for brain development, and hence, disruption of ubiquitin signaling networks can lead to neurological disorders. Mutations of the deubiquitinase USP7 cause the Hao-Fountain syndrome (HAFOUS), characterized by developmental delay, intellectual disability, autism, and aggressive behavior. Here, we report that conditional deletion of USP7 in excitatory neurons in the mouse forebrain triggers diverse phenotypes including sensorimotor deficits, learning and memory impairment, and aggressive behavior, resembling clinical features of HAFOUS. USP7 deletion induces neuronal apoptosis in a manner dependent of the tumor suppressor p53. However, most behavioral abnormalities in USP7 conditional mice persist despite p53 loss. Strikingly, USP7 deletion in the brain perturbs the synaptic proteome and dendritic spine morphogenesis independently of p53. Integrated proteomics analysis reveals that the neuronal USP7 interactome is enriched for proteins implicated in neurodevelopmental disorders and specifically identifies the RNA splicing factor Ppil4 as a novel neuronal substrate of USP7. Knockdown of Ppil4 in cortical neurons impairs dendritic spine morphogenesis, phenocopying the effect of USP7 loss on dendritic spines. These findings reveal a novel USP7-Ppil4 ubiquitin signaling link that regulates neuronal connectivity in the developing brain, with implications for our understanding of the pathogenesis of HAFOUS and other neurodevelopmental disorders.
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Yang HC, Lavadi RS, Sauerbeck AD, Wallendorf M, Kummer TT, Song SK, Lin TH. Diffusion basis spectrum imaging detects subclinical traumatic optic neuropathy in a closed-head impact mouse model of traumatic brain injury. Front Neurol 2023; 14:1269817. [PMID: 38152638 PMCID: PMC10752006 DOI: 10.3389/fneur.2023.1269817] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/12/2023] [Indexed: 12/29/2023] Open
Abstract
Introduction Traumatic optic neuropathy (TON) is the optic nerve injury secondary to brain trauma leading to visual impairment and vision loss. Current clinical visual function assessments often fail to detect TON due to slow disease progression and clinically silent lesions resulting in potentially delayed or missed treatment in patients with traumatic brain injury (TBI). Methods Diffusion basis spectrum imaging (DBSI) is a novel imaging modality that can potentially fill this diagnostic gap. Twenty-two, 16-week-old, male mice were equally divided into a sham or TBI (induced by moderate Closed-Head Impact Model of Engineered Rotational Acceleration device) group. Briefly, mice were anesthetized with isoflurane (5% for 2.5 min followed by 2.5% maintenance during injury induction), had a helmet placed over the head, and were placed in a holder prior to a 2.1-joule impact. Serial visual acuity (VA) assessments, using the Virtual Optometry System, and DBSI scans were performed in both groups of mice. Immunohistochemistry (IHC) and histological analysis of optic nerves was also performed after in vivo MRI. Results VA of the TBI mice showed unilateral or bilateral impairment. DBSI of the optic nerves exhibited bilateral involvement. IHC results of the optic nerves revealed axonal loss, myelin injury, axonal injury, and increased cellularity in the optic nerves of the TBI mice. Increased DBSI axon volume, decreased DBSI λ||, and elevated DBSI restricted fraction correlated with decreased SMI-312, decreased SMI-31, and increased DAPI density, respectively, suggesting that DBSI can detect coexisting pathologies in the optic nerves of TBI mice. Conclusion DBSI provides an imaging modality capable of detecting subclinical changes of indirect TON in TBI mice.
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Affiliation(s)
- Hsin-Chieh Yang
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Raj Swaroop Lavadi
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Andrew D. Sauerbeck
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States
| | - Michael Wallendorf
- Department of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Terrance T. Kummer
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States
- VA Medical Center, St. Louis, MO, United States
| | - Sheng-Kwei Song
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States
| | - Tsen-Hsuan Lin
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States
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Hu Z, Sun P, George A, Zeng X, Li M, Lin TH, Ye Z, Wei X, Jiang X, Song SK, Yang R. Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson's disease. Eur Radiol 2023; 33:9109-9119. [PMID: 37438642 DOI: 10.1007/s00330-023-09780-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/13/2023] [Accepted: 03/30/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVES Using diffusion basis spectrum imaging (DBSI) to examine the microstructural changes in the substantia nigra (SN) and global white matter (WM) tracts of patients with early-stage PD. METHODS Thirty-seven age- and sex-matched patients with early-stage PD and 22 healthy controls (HCs) were enrolled in this study. All participants underwent clinical assessments and diffusion-weighted MRI scans, analyzed by diffusion tensor imaging (DTI) and DBSI to assess the pathologies of PD in SN and global WM tracts. RESULTS The lower DTI fraction anisotropy (FA) was seen in SN of PD patients (PD: 0.316 ± 0.034 vs HCs: 0.331 ± 0.019, p = 0.015). The putative cells marker-DBSI-restricted fraction (PD: 0.132 ± 0.051 vs HCs: 0.105 ± 0.039, p = 0.031) and the edema/extracellular space marker-DBSI non-restricted-fraction (PD: 0.150 ± 0.052 vs HCs: 0.122 ± 0.052, p = 0.020) were both significantly higher and the density of axons/dendrites marker-DBSI fiber-fraction (PD: 0.718 ± 0.073 vs HCs: 0.773 ± 0.071, p = 0.003) was significantly lower in SN of PD patients. DBSI-restricted fraction in SN was negatively correlated with HAMA scores (r = - 0.501, p = 0.005), whereas DTI-FA was not correlated with any clinical scales. In WM tracts, only higher DTI axial diffusivity (AD) among DTI metrics was found in multiple WM regions in PD, while lower DBSI fiber-fraction and higher DBSI non-restricted-fraction were detected in multiple WM regions. DBSI non-restricted-fraction in both left fornix (cres)/stria terminalis (r = -0.472, p = 0.004) and right posterior thalamic radiation (r = - 0.467, p = 0.005) was negatively correlated with MMSE scores. CONCLUSION DBSI could potentially detect and quantify the extent of inflammatory cell infiltration, fiber/dendrite loss, and edema in both SN and WM tracts in patients with early-stage PD, a finding remains to be further investigated through more extensive longitudinal DBSI analysis. CLINICAL RELEVANCE STATEMENT Our study shows that DBSI indexes can potentially detect early-stage PD's pathological changes, with a notable ability to distinguish between inflammation and edema. This implies that DBSI has the potential to be an imaging biomarker for early PD diagnosis. KEY POINTS • Diffusion basis spectrum imaging detected higher restricted-fraction in Parkinson's disease, potentially reflecting inflammatory cell infiltration. • Diffusion basis spectrum imaging detected higher non-restricted-fraction and lower fiber-fraction in Parkinson's disease, indicating the presence of edema and/or dopaminergic neuronal/dendritic loss. • Diffusion basis spectrum imaging metrics correlated with non-motor symptoms, suggesting its potential diagnostic role to detect early-stage PD dysfunctions.
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Affiliation(s)
- Zexuan Hu
- Department of Radiology, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangdong, 510310, Guangzhou, China
| | - Peng Sun
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Ajit George
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Xiangling Zeng
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Mengyan Li
- Department of Neurology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Tsen-Hsuan Lin
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Zezhong Ye
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA
| | - Xinhua Wei
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Xinqing Jiang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China
| | - Sheng-Kwei Song
- Biomedical MR Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Room 2313, 4525 Scott Ave, Campus Box 8227, St. Louis, MO, 63110-1093, USA.
| | - Ruimeng Yang
- Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, #1 Panfu Road, Yuexiu District, Guangdong, 510180, Guangzhou, China.
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