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Wei X, Wang W, Law YW, Zhang H. The Impacts of Intimate Partner Violence on Postpartum Depression: An Updated Meta-Analysis. Trauma Violence Abuse 2024; 25:1531-1550. [PMID: 37480328 DOI: 10.1177/15248380231188068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
The associations between intimate partner violence (IPV) and postpartum depression (PPD) have been well established in previous reviews. However, none has explored potential differences between IPV subtypes or exposure times, which could help healthcare providers recognize the adverse impacts of various IPV subtypes and conduct comprehensive IPV screening. This study aimed to estimate the impacts of overall IPV and its subtypes (physical, psychological, and sexual) on PPD using an updated meta-analysis and to examine the potential role of IPV exposure time and regional income levels. Four English databases (Medline, PsycINFO, PubMed, and Web of Science) and two Chinese databases (China National Knowledge Infrastructure [CNKI] and Wanfang Database) were systematically searched. We included 76 studies with 388,966 samples. Random-effects models were used to pool the odds ratios (ORs) across studies. Overall, IPV and its subtypes had statistically significant impacts on PPD (overall: OR = 2.50, physical: OR = 2.31, psychological: OR = 2.22, sexual: OR = 1.75). A higher impact of IPV on PPD was observed in middle- and low-income regions (OR = 3.01) than in high-income regions (OR = 1.92). IPV during pregnancy (OR = 2.73) had a greater impact on PPD than lifetime IPV (OR = 2.24). This study provides updated evidence for the significant impact of IPV and its subtypes and exposure time on PPD. Women at risk of exposure to physical IPV, especially during pregnancy, are in urgent need of support to reduce the risk of PPD.
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Affiliation(s)
- Xinyi Wei
- The University of Hong Kong, Pokfulam, Hong Kong
| | | | - Yik Wa Law
- The University of Hong Kong, Pokfulam, Hong Kong
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Yokota K, Takenouchi T, Fujisawa Y, Fukushima S, Uchi H, Inozume T, Kiyohara Y, Uhara H, Nakagawa K, Furukawa H, Han S, Watanabe M, Noguchi K, Yamazaki N. Long-term follow-up results from KEYNOTE-041: Phase 1b study of pembrolizumab in Japanese patients with advanced melanoma. J Dermatol 2024. [PMID: 38529706 DOI: 10.1111/1346-8138.17002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 03/27/2024]
Abstract
Pembrolizumab demonstrated an acceptable safety profile and promising antitumor activity in Japanese patients with advanced melanoma in the phase 1b KEYNOTE-041 (Study of Pembrolizumab [MK-3475] in Participants With Advanced Melanoma) trial. To evaluate the long-term efficacy and safety of pembrolizumab in Japanese patients with advanced melanoma in KEYNOTE-041. The current analysis reports results of additional follow-up of approximately 12 months since the initial analysis. Eligible patients had locally advanced (unresectable stage III) or metastatic (stage IV) melanoma not amenable to local therapy and had received two or fewer prior systemic therapies. Pembrolizumab 2 mg/kg was given every 3 weeks for up to 2 years or until confirmed progression or unacceptable toxicity. Primary end points included safety, tolerability, and overall response rate (ORR) per Response Evaluation Criteria in Solid Tumors version 1.1 by independent central review. The data cutoff for this analysis was August 30, 2017. Forty-two patients were followed up for a median of 22.3 months (range, 2.63-30.82 months). The ORR was 24.3% (nine of 37 evaluable patients [95% confidence interval (CI), 11.8%-41.2%]). Two patients with partial response at the time of the initial analysis achieved complete response. The median overall survival (OS) was 25.1 months (95% CI, 13.1-not reached] and the 30-month OS rate was 46.3% (95% CI, 29.8%-61.3%). The median duration of response was not reached. Treatment-related adverse events (TRAEs) were reported in 78.6% of patients; the incidence of grade 3 to 5 TRAEs was 23.8%. No additional treatment-related deaths occurred since the initial analysis. Pembrolizumab provided durable antitumor activity and an acceptable safety profile in Japanese patients with advanced melanoma.
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Affiliation(s)
- Kenji Yokota
- Department of Dermatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tatsuya Takenouchi
- Department of Dermatology, Niigata Cancer Center Hospital, Niigata, Japan
| | - Yasuhiro Fujisawa
- Department of Dermatology, Faculty of Medicine, Ehime University, Ehime, Japan
| | - Satoshi Fukushima
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Hiroshi Uchi
- Department of Dermatologic Oncology, National Hospital Organization Kyusyu Cancer Center, Fukuoka, Japan
| | | | - Yoshio Kiyohara
- Division of Dermatology, Shizuoka Cancer Center Hospital, Shizuoka, Japan
| | - Hisashi Uhara
- Department of Dermatology, Sapporo Medical University, School of Medicine, Sapporo, Hokkaido, Japan
| | - Kazuhiko Nakagawa
- Department of Medical Oncology, Faculty of Medicine, Kindai University, Osaka, Japan
| | - Hiroshi Furukawa
- Department of Plastic and Reconstructive Surgery, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | | | | | | | - Naoya Yamazaki
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
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Gkekos L, Lundberg FE, Humphreys K, Fredriksson I, Johansson ALV. Worse histopathology and prognosis in women with breast cancer diagnosed during the second trimester of pregnancy. ESMO Open 2024; 9:102972. [PMID: 38520846 DOI: 10.1016/j.esmoop.2024.102972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/19/2024] [Accepted: 02/24/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Evidence suggests that women with breast cancer diagnosed during pregnancy (PrBC) and within 2 years of delivery (PPBC) have similar survival compared to women diagnosed not near pregnancy if adjusted for stage and subtype. To investigate whether this is true for all subtypes and for both pregnancy and post-delivery periods, we examined clinicopathologic features and survival in women with breast cancer by trimesters and 6-month post-delivery intervals. MATERIALS AND METHODS Women diagnosed with invasive breast cancer during 1992-2018 at ages 18-44 years were identified in the Swedish Cancer Register, with information on childbirths from the Swedish Multi-Generation Register and clinical data from Breast Cancer Quality Registers. Each woman with PrBC or PPBC was matched 1 : 2 by age and year to comparators diagnosed with breast cancer not near pregnancy. Distributions of stage, grade, and surrogate subtypes were compared. Adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for breast cancer mortality were estimated using Cox regression. RESULTS We identified 1430 women with PrBC and PPBC (181 during pregnancy, 499 during the first and 750 during the second year after delivery). Compared to 2860 comparators, women with PrBC and PPBC in the first year after delivery had a significantly higher proportion of luminal human epidermal growth factor receptor 2 (HER2)-positive, HER2-positive and triple-negative tumours, and more advanced stage at diagnosis. After adjustment for age, year, parity, country of birth, hospital region, subtype, and stage, women diagnosed during the second trimester had a worse prognosis than matched comparators (HR 1.8, 95% CI: 1.0-3.2). CONCLUSIONS Women diagnosed during pregnancy or within the first year after delivery have a worse prognosis than women diagnosed not near pregnancy due to adverse tumour biology and advanced stage at diagnosis. A worse prognosis for women diagnosed during the second trimester remained after multivariable adjustment, possibly reflecting difficulties to provide optimal treatment during ongoing pregnancy.
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Affiliation(s)
- L Gkekos
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - F E Lundberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - K Humphreys
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - I Fredriksson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Breast, Endocrine Tumors and Sarcoma, Karolinska University Hospital, Stockholm, Sweden
| | - A L V Johansson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
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Guler E, Arikan A, Sultanoglu N, Suer K, Sanlidag T, Sayan M. Molecular Epidemiology of HIV-1 Subtypes and Primary Antiretroviral Resistance Profiles in Northern Cyprus: First Data Series. AIDS Res Hum Retroviruses 2024. [PMID: 38366753 DOI: 10.1089/aid.2023.0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024] Open
Abstract
The distribution of human immunodeficiency virus-1 (HIV-1) subtypes indicates difference from region to region and in risk groups acquiring the disease worldwide. Although subtype C is more in terms of total cases, subtype B is dominant in certain regions, especially in western and central Europe. Molecular epidemiological studies are essential for the control, effective treatment, and understanding in transmission routes of HIV-1 infection. This study aims to determine the molecular epidemiology and antiretroviral drug resistance profiles of HIV-1 in northern Cyprus. The study involved 71 naive HIV-positive patients diagnosed in northern Cyprus between 2016 and 2022. HIV-1 subtypes and circulating recombinant forms (CRFs) were identified by phylogenetic analysis (neighbor-joining method) of pol gene sequences. Drug resistance mutations were analyzed using the World Health Organization (WHO) lists of mutations for surveillance. The Stanford University HIVdb program was used to interpret drug resistance mutations. In our study, 40 of 71 samples were successfully sequenced. Subtype B of HIV-1 was dominant with a rate of 52.5%, followed by CRF02_AG (20%) and G (7.5%) subtypes. The rate of subtype B (71.4%) in northern Cyprus was significantly higher than in the other country of origin (p = .028). Antiretroviral drug resistance was found in 15% of the sequenced serum samples. Nucleoside/nucleotide reverse transcriptase inhibitor (NRTI), non-nucleoside nucleotide reverse transcriptase inhibitor (NNRTI), and protease inhibitor (PI) resistance rates were 10% (4/40), 7.5% (3/40), and 2.5% (1/40), respectively. According to the results, it is noteworthy that the dominant subtype circulating in northern Cyprus is the B subtype, and CRFs were detected at a higher rate than expected.
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Affiliation(s)
- Emrah Guler
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, European University of Lefke, Lefke, Mersin-10, Turkey
| | - Ayse Arikan
- DESAM Research Institute, Near East University, Nicosia, Mersin-10, Turkey
- Department of Medical Microbiology and Clinical Microbiology, Faculty of Medicine, Near East University, Nicosia, Mersin-10, Turkey
| | - Nazife Sultanoglu
- DESAM Research Institute, Near East University, Nicosia, Mersin-10, Turkey
- Department of Medical Microbiology and Clinical Microbiology, Faculty of Medicine, Near East University, Nicosia, Mersin-10, Turkey
| | - Kaya Suer
- Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Near East University, Nicosia, Mersin-10, Turkey
| | - Tamer Sanlidag
- DESAM Research Institute, Near East University, Nicosia, Mersin-10, Turkey
| | - Murat Sayan
- DESAM Research Institute, Near East University, Nicosia, Mersin-10, Turkey
- Clinical Laboratory, PCR Unit, Kocaeli University Hospital, Kocaeli University, Izmit, Turkey
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Guo W, Xue X, Li R, Liang R, Wang Z, Qin J, Duan C, Chen T, Yan X. Epidemiological investigation of Cryptosporidium in children with diarrhea in middle Inner Mongolia, China. Acta Trop 2024:107177. [PMID: 38518835 DOI: 10.1016/j.actatropica.2024.107177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/25/2024] [Accepted: 03/05/2024] [Indexed: 03/24/2024]
Abstract
Cryptosporidia (Cryptosporidium) is a protozoan that is widely parasitic in the intestinal cells of humans and animals, and it is also an important zoonotic parasite. However, there is no epidemiological investigation on Cryptosporidium spp. infection in infants with diarrhea of Inner Mongolia, the largest livestock region in China. To investigate the prevalence of Cryptosporidium, 2435 fresh fecal samples were collected from children with diarrhea in Inner Mongolia Maternal and Child Health Care Hospital. Molecular characterization of Cryptosporidium was carried out based on its 18S rRNA and gp60 gene sequences. The overall prevalence was 12.85% (313/2435), and in Hohhot (12.15%), it was lower than that in the surrounding city (14.87%) (P < 0.05). Moreover, Cryptosporidium was detected in different seasons and sexes. Concerning the age of children with diarrhea, the prevalence of those age groups between 0 and 1 was obviously lower than others, and there were significant differences in the prevalence at different ages (P < 0.001). Analysis of the 18S rRNA gene sequence revealed that all the positive samples were Cryptosporidium parvum, and there were 5 subtypes (IIdA23G3, IIdA24G3, IIdA24G4, IIdA25G3, and IIdA25G4). To the best of our knowledge, the above subtypes have not been reported. Our results provide a relevant basis for control and education on food safety and foodborne illness prevention.
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Affiliation(s)
- Wenhui Guo
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Xinyu Xue
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Ruifeng Li
- Department of pediatrics, Inner Mongolia Maternal and Child Health Care Hospital, Hohhot 010020, China
| | - Ru Liang
- Department of pediatrics, Inner Mongolia Maternal and Child Health Care Hospital, Hohhot 010020, China
| | - Zixuan Wang
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Jiashan Qin
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Chao Duan
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Tieyun Chen
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Xinlei Yan
- Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, China.
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Luo C, Pi X, Zhang Q, Hu N, Xiao Y, Sweeney JA, Bishop JR, Gong Q, Xie D, Lui S. A subtype of schizophrenia patients with altered methylation level of genes related to immune cell activity. Psychol Med 2024:1-9. [PMID: 38505948 DOI: 10.1017/s0033291724000667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
BACKGROUND Epigenetic changes are plausible molecular sources of clinical heterogeneity in schizophrenia. A subgroup of schizophrenia patients with elevated inflammatory or immune-dysregulation has been reported by previous studies. However, little is known about epigenetic changes in genes related to immune activation in never-treated first-episode patients with schizophrenia (FES) and its consistency with that in treated long-term ill (LTS) patients. METHODS In this study, epigenome-wide profiling with a DNA methylation array was applied using blood samples of both FES and LTS patients, as well as their corresponding healthy controls. Non-negative matrix factorization (NMF) and k -means clustering were performed to parse heterogeneity of schizophrenia, and the consistency of subtyping results from two cohorts. was tested. RESULTS This study identified a subtype of patients in FES participants (47.5%) that exhibited widespread methylation level alterations of genes enriched in immune cell activity and a significantly higher proportion of neutrophils. This clustering of FES patients was validated in LTS patients, with high correspondence in epigenetic and clinical features across two cohorts. CONCLUSIONS In summary, this study demonstrated a subtype of schizophrenia patients across both FES and LTS cohorts, defined by widespread alterations in methylation profile of genes related to immune function and distinguishing clinical features. This finding illustrates the promise of novel treatment strategies targeting immune dysregulation for a subpopulation of schizophrenia patients.
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Affiliation(s)
- Chunyan Luo
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and molecular imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China
| | - Xuenan Pi
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Qi Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and molecular imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China
| | - Na Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and molecular imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China
| | - Yuan Xiao
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and molecular imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati OH 45219, USA
| | - Jeffrey R Bishop
- Department of Experimental and Clinical Pharmacology and Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and molecular imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China
| | - Dan Xie
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and molecular imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China
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Stravodimou A, Voutsadakis IA. Neo-adjuvant therapies for ER positive/HER2 negative breast cancers: from chemotherapy to hormonal therapy, CDK inhibitors, and beyond. Expert Rev Anticancer Ther 2024:1-19. [PMID: 38475990 DOI: 10.1080/14737140.2024.2330601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 02/02/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION Chemotherapy has been traditionally used as neo-adjuvant therapy in breast cancer for down-staging of locally advanced disease in all sub-types. In the adjuvant setting, genomic assays have shown that a significant proportion of ER positive/HER2 negative patients do not derive benefit from the addition of chemotherapy to adjuvant endocrine therapy. An interest in hormonal treatments as neo-adjuvant therapies in ER positive/HER2 negative cancers has been borne by their documented success in the adjuvant setting. Moreover, cytotoxic chemotherapy is less effective in ER positive/HER2 negative disease compared with other breast cancer subtypes in obtaining pathologic complete responses. AREAS COVERED Neo-adjuvant therapies for ER positive/HER2 negative breast cancers and associated biomarkers are reviewed, using a Medline survey. A focus of discussion is the prediction of patients that are unlikely to derive extra benefit from chemotherapy and have the highest probabilities of benefiting from hormonal and other targeted therapies. EXPERT OPINION Predictive biomarkers of response to neo-adjuvant chemotherapy and hormonal therapies are instrumental for selecting ER positive/HER2 negative breast cancer patients for each treatment. Chemotherapy remains the standard of care for many of those patients requiring neo-adjuvant treatment, but other neo-adjuvant therapies are increasingly used.
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Affiliation(s)
- Athina Stravodimou
- Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Ioannis A Voutsadakis
- Algoma District Cancer Program, Sault Area Hospital, Sault Ste Marie, Ontario, Canada
- Division of Clinical Sciences, Northern Ontario School of Medicine, Sudbury, Ontario, Canada
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Chen L, Sun Q, Chou R, Anderson DB, Shi B, Chen Y, Liu X, Feng S, Zhou H, Ferreira ML. Low back pain-driven inpatient stays in the United States: a nationwide repeated cross-sectional analysis. Int J Surg 2024; 110:1411-1419. [PMID: 38085809 PMCID: PMC10942240 DOI: 10.1097/js9.0000000000000951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/21/2023] [Indexed: 03/16/2024]
Abstract
BACKGROUND Low back pain (LBP)-driven inpatient stays are resource-intensive and costly, yet data on contemporary national trends are limited. MATERIALS AND METHODS This study used repeated cross-sectional analyses through a nationally representative sample (US National Inpatient Sample, 2016-2019). Outcomes included the rate of LBP-driven inpatient stays; the resource utilization (the proportion of receiving surgical treatments and hospital costs) and prognosis (hospital length of stay and the proportion of nonroutine discharge) among LBP-driven inpatient stays. LBP was classified as overall, nonspecific, and specific (i.e. cancer, cauda equina syndrome, vertebral infection, vertebral compression fracture, axial spondyloarthritis, radicular pain, and spinal canal stenosis). Analyses were further stratified by age, sex, and race/ethnicity. RESULTS 292 987 LBP-driven inpatient stays (weighted number: 1 464 690) were included, with 269 080 (91.8%) of these for specific LBP and 23 907 (8.2%) for nonspecific LBP. The rate of LBP-driven inpatient stays varied a lot across demographic groups and LBP subtypes (e.g. for overall LBP, highest for non-Hispanic White 180.4 vs. lowest for non-Hispanic Asian/Pacific Islander 42.0 per 100 000 population). Between 2016 and 2019, the rate of nonspecific LBP-driven inpatient stays significantly decreased (relative change: 46.9%); however, substantial variations were found within subcategories of specific LBP-significant increases were found for vertebral infection (relative change: 17.2%), vertebral compression fracture (relative change: 13.4%), and spinal canal stenosis (relative change: 19.9%), while a significant decrease was found for radicular pain (relative change: 12.6%). The proportion of receiving surgical treatments also varied a lot (e.g. for overall LBP, highest for non-Hispanic White 74.4% vs. lowest for non-Hispanic Asian/Pacific Islander 62.8%), and significantly decreased between 2016 and 2019 (e.g. for nonspecific LBP, relative change: 28.6%). Variations were also observed for other outcomes. CONCLUSIONS In the US, the burden of LBP-driven inpatient stays (i.e. rates of LBP-driven inpatient stays, resource utilization, and prognosis among LBP-driven inpatient stays) is enormous. More research is needed to understand why the burden varies considerably according to the LBP subtype (i.e. nonspecific and specific LBP as well as subcategories of specific LBP) and the subpopulation concerned (i.e. stratified by age, sex, and race/ethnicity).
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Affiliation(s)
- Lingxiao Chen
- Department of Orthopedics, Qilu Hospital of Shandong University, Shandong University Centre for Orthopedics, Advanced Medical Research Institute
- Department of Biostatistics, School of Public Health
- Sydney Musculoskeletal Health, Patyegarang Precinct, Faculty of Medicine and Health, The University of Sydney, Sydney
| | - Qingyu Sun
- Department of Orthopedics, Qilu Hospital of Shandong University, Shandong University Centre for Orthopedics, Advanced Medical Research Institute
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon
| | - David B. Anderson
- Sydney Musculoskeletal Health, Patyegarang Precinct, Faculty of Medicine and Health, The University of Sydney, Sydney
- The University of Sydney, Sydney School of Health Sciences, Faculty of Medicine and Health, Sydney, Australia
| | - Baoyi Shi
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, United States
| | - Yujie Chen
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Xinyu Liu
- Department of Orthopedics, Qilu Hospital of Shandong University, Shandong University Centre for Orthopedics, Advanced Medical Research Institute
| | - Shiqing Feng
- Department of Orthopedics, Qilu Hospital of Shandong University, Shandong University Centre for Orthopedics, Advanced Medical Research Institute
- The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University
| | - Hengxing Zhou
- Department of Orthopedics, Qilu Hospital of Shandong University, Shandong University Centre for Orthopedics, Advanced Medical Research Institute
- The Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University
- Center for Reproductive Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Manuela L. Ferreira
- Sydney Musculoskeletal Health, Patyegarang Precinct, Faculty of Medicine and Health, The University of Sydney, Sydney
- The University of Sydney, Sydney School of Health Sciences, Faculty of Medicine and Health, Sydney, Australia
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Cao L, Yin J, Du G, Yang Q, Huang Y. Identifying and verifying Huntington's disease subtypes: Clinical features, neuroimaging, and cytokine changes. Brain Behav 2024; 14:e3469. [PMID: 38494708 PMCID: PMC10945031 DOI: 10.1002/brb3.3469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/19/2024] Open
Abstract
AIMS Huntington's disease (HD) is a progressive neurodegenerative disorder with heterogeneous clinical manifestations. Identifying distinct clinical clusters and their relevant biomarkers could elucidate the underlying disease pathophysiology. METHODS Following the Enroll-HD program initiated in 2018.09, we have recruited 104 HD patients (including 21 premanifest) and 31 health controls at Beijing Tiantan Hospital. Principal components analysis and k-means cluster analysis were performed to determine HD clusters. Chi-square test, one-way ANOVA, and covariance were used to identify features among these clusters. Furthermore, plasma cytokines levels and brain structural imaging were used as biomarkers to delineate the clinical features of each cluster. RESULTS Three clusters were identified. Cluster 1 demonstrated the most severe motor and nonmotor symptoms except for chorea, the lowest whole brain volume, the plasma levels of IL-2 were higher and significantly associated with cluster 1. Cluster 2 was characterized with the most severe chorea and the largest pallidum volume. Cluster 3 had the most benign motor symptoms but moderate psychiatric problems. CONCLUSION We have identified three HD clusters via clinical manifestations with distinct biomarkers. Our data shed light on better understanding about the pathophysiology of HD.
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Affiliation(s)
- Ling‐Xiao Cao
- China National Clinical Research Center for Neurological DiseasesBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Jin‐Hui Yin
- China National Clinical Research Center for Neurological DiseasesBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Gang Du
- China National Clinical Research Center for Neurological DiseasesBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Department of NeurologyThe Third People's Hospital of Longgang DistrictShenzhenChina
| | - Qing Yang
- China National Clinical Research Center for Neurological DiseasesBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yue Huang
- China National Clinical Research Center for Neurological DiseasesBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Pharmacology Department, School of Biomedical Sciences, Faculty of Medicine and HealthUNSW SydneySydneyAustralia
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Nakai Y, Nin K, Noma S, Teramukai S. Onset patterns and clinical features of binge-eating disorder in a Japanese clinical sample. Int J Eat Disord 2024; 57:740-744. [PMID: 38293891 DOI: 10.1002/eat.24148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/01/2024]
Abstract
OBJECTIVE This study aimed to investigate the clinical presentation of binge-eating disorder (BED) in a Japanese sample and to examine the relationship between subtypes of BED differing in onset patterns and those differing in prior history of another eating disorder (ED). METHODS The study participants were 137 adults who met the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria for BED. We subtyped participants based on prior history of another ED: 55 (40.1%) participants with a history of another ED (BED ED+) and 82 participants without such a history (BED ED-). RESULTS Unlike in some Western studies, approximately three quarters of participants had a body mass index of <25 kg/m2 . None of the participants reported a history of another ED with purging or excessive exercise. All BED ED+ participants transitioned to BED from anorexia nervosa restricting type (AN-R) or from atypical AN-R. BED ED+ participants reported more severe psychopathology than BED ED-participants. Only 20% had a treatment history for BED. Dieting preceded their first binge eating in 55 participants (DIET-first BED), and binge eating preceded their first dieting in 82 participants (BINGE-first BED). Regarding the relationship between the two different subtypes, all DIET-first BED participants were in the BED ED+ group, whereas all BINGE-first BED participants were in the BED ED-group. DISCUSSION Present findings revealed the clinical presentation of BED in a Japan-based study and suggested that subtypes of BED differing in the prior history of another ED yielded an accurate prediction of onset patterns (dieting first vs. binge eating first). PUBLIC SIGNIFICANCE This study highlights the need for clinicians to consider subtype differences in onset patterns and clinical features of BED to treat and prevent this disorder. This study revealed that, although individuals with BED in Japan have severe symptoms and a long duration of illness, only 20% have received BED treatment. The results indicate a need to disseminate knowledge about BED to the Japanese public and healthcare providers.
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Affiliation(s)
| | - Kazuko Nin
- Human Health Sciences, Faculty of Medicine, Kyoto University, Kyoto, Japan
| | - Shun'ichi Noma
- Department of Psychiatry, School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Teramukai
- Department of Biostatistics, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
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Feng X, Xin L, Zhang B, Wang Z, Meng Z, Yu F, Qi M. Molecular characterization of Blastocystis spp. in Hotan Black chickens in southern Xinjiang. J Eukaryot Microbiol 2024; 71:e13012. [PMID: 37975433 DOI: 10.1111/jeu.13012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/07/2023] [Accepted: 11/07/2023] [Indexed: 11/19/2023]
Abstract
To determine the infection status and assess the zoonotic potential of Blastocystis spp. in Hotan Black chickens in southern Xinjiang, China, fecal samples were collected from 617 chickens on 18 large-scale farms. The presence of Blastocystis spp. was determined using polymerase chain reaction based on the small subunit rRNA (SSU rRNA) locus. The results revealed an overall infection rate of 26.3% (162/617). Samples from Farm 1 in Luopu County showed the highest infection rate (76.3%, 29/38). The highest and lowest infection rates were detected in the <30-day (34.4%, 43/125) and > 90-day age groups (12.4%, 11/89), respectively. The infection rate decreased with increasing age. Statistical analysis showed significant differences in the infection rates of Blastocystis spp. among the different sampling sites (p < 0.05) and age groups (p < 0.05). Four Blastocystis spp. subtypes (ST6, ST7, ST10, and ST23) were identified. The infection rates of the zoonotic subtypes, ST6 and ST7, were 3.2% (20/617) and 22.2% (137/617), respectively. The presence of Blastocystis spp. and zoonotic subtypes provided evidence for the potential transmission of this pathogen between Hotan Black chickens and humans, especially in animal handlers in this area.
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Affiliation(s)
- Xinwei Feng
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
| | - Luyao Xin
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
| | - Bowen Zhang
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
| | - Zhichao Wang
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
| | - Zhu Meng
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
| | - Fuchang Yu
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
| | - Meng Qi
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Tarim Animal Disease Diagnosis and Control Engineering Laboratory of Xinjiang Production and Construction Corps, Xinjiang, China
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Hu Y, Huang P, Jiang F. Identification and Analysis of Subtypes of Liver Cancer Based on Genes Related to E3 Ubiquitin Ligases and Deubiquitinating Enzymes. TOHOKU J EXP MED 2024; 262:75-84. [PMID: 37880130 DOI: 10.1620/tjem.2023.j089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
Recent studies have reported a correlation between ubiquitination or deubiquitination and cancer development. But mechanisms underlying the roles of genes associated with E3 ubiquitin ligases and deubiquitinating enzymes (DUB) in liver cancer remain to be explored. We analyzed and screened differentially expressed genes related to E3 ubiquitin ligases and DUB in liver cancer on the basis of public databases. Cluster analysis was utilized to classify liver cancer samples into different subtypes. Survival analysis, immune analysis, and pathway enrichment analysis were performed on the subtypes. We constructed a protein-protein interaction network using STRING to screen hub genes. Finally, we used the Connectivity Map (CMap) database to predict targeted small molecules. The results show that a total of 139 differentially expressed E3/DUB genes in liver cancer were screened. Then, liver cancer was classified into two subtypes, cluster 1 and cluster 2, based on E3-related and DUB-related genes. Patients in cluster 1 had higher survival rates and immune levels than those in cluster 2. Four hub genes (RPSA, RPS5, RPL30, and RPL8) significantly affecting the survival of the two subtypes of liver cancer patients were identified based on cluster 1 and cluster 2. Finally, the CMap database predicted that small-molecule drugs including probenecid, dexamethasone, and etomidate may improve the prognosis of liver cancer patients. These findings may offer a reference for risk stratification studies and drug development in liver cancer.
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Affiliation(s)
- Yunming Hu
- Department of Hepatobiliary Surgery, Yueqing People's Hospital
| | - Peipei Huang
- Department of Gastroenterology, Yueqing People's Hospital
| | - Feizhao Jiang
- Department of Hepatobiliary Surgery, Yueqing People's Hospital
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13
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Wan Z, Zhang C. How to report and make sense of a new HIV-1 circulating recombinant form? Front Microbiol 2024; 15:1343143. [PMID: 38450164 PMCID: PMC10915052 DOI: 10.3389/fmicb.2024.1343143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 01/11/2024] [Indexed: 03/08/2024] Open
Abstract
Co-circulation of multiple HIV-1 subtypes in the same high-risk groups leads to the on-going generation of various inter-subtype recombinants, including unique (URFs) and circulating (CRFs) recombinant forms, which brings a new challenge for the prevention and eradication of HIV/AIDS. Identification and prompt reporting of new CRFs will provide not only new insights into the understanding of genetic diversity and evolution of HIV-1, but also an early warning of potential prevalence of these variants. Currently, 140 HIV-1 CRFs have been described; however, their prevalence and clinical importance are less concerned. Apart from the mosaic genomic maps, less other valuable information, including the clinical and demographic data, genomic sequence characteristics, origin and evolutionary dynamics, as well as representative genomic fragments for determining the variants, are available for most of these CRFs. Accompanied with the growing increase of HIV-1 full-length genomic sequences, more and more CRFs will be identified in the near future due to the high recombination potential of HIV-1. Here, we discuss the prevalence and clinical importance of various HIV-1 CRFs and propose how to report and make sense of a new HIV-1 CRF.
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Affiliation(s)
- Zhenzhou Wan
- Medical Laboratory of Taizhou Fourth People’s Hospital, Taizhou, China
| | - Chiyu Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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14
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Lamanna J, Meldolesi J. Autism Spectrum Disorder: Brain Areas Involved, Neurobiological Mechanisms, Diagnoses and Therapies. Int J Mol Sci 2024; 25:2423. [PMID: 38397100 PMCID: PMC10889781 DOI: 10.3390/ijms25042423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/31/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Autism spectrum disorder (ASD), affecting over 2% of the pre-school children population, includes an important fraction of the conditions accounting for the heterogeneity of autism. The disease was discovered 75 years ago, and the present review, based on critical evaluations of the recognized ASD studies from the beginning of 1990, has been further developed by the comparative analyses of the research and clinical reports, which have grown progressively in recent years up to late 2023. The tools necessary for the identification of the ASD disease and its related clinical pathologies are genetic and epigenetic mutations affected by the specific interaction with transcription factors and chromatin remodeling processes occurring within specific complexes of brain neurons. Most often, the ensuing effects induce the inhibition/excitation of synaptic structures sustained primarily, at dendritic fibers, by alterations of flat and spine response sites. These effects are relevant because synapses, established by specific interactions of neurons with glial cells, operate as early and key targets of ASD. The pathology of children is often suspected by parents and communities and then confirmed by ensuing experiences. The final diagnoses of children and mature patients are then completed by the combination of neuropsychological (cognitive) tests and electro-/magneto-encephalography studies developed in specialized centers. ASD comorbidities, induced by processes such as anxieties, depressions, hyperactivities, and sleep defects, interact with and reinforce other brain diseases, especially schizophrenia. Advanced therapies, prescribed to children and adult patients for the control of ASD symptoms and disease, are based on the combination of well-known brain drugs with classical tools of neurologic and psychiatric practice. Overall, this review reports and discusses the advanced knowledge about the biological and medical properties of ASD.
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Affiliation(s)
- Jacopo Lamanna
- Center for Behavioral Neuroscience and Communication (BNC), 20132 Milan, Italy;
- Faculty of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Jacopo Meldolesi
- IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, 20132 Milan, Italy
- CNR Institute of Neuroscience, Milano-Bicocca University, 20854 Vedano al Lambro, Italy
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15
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Qi D, Liu C, Zhang Z, Liu X, Kang P. Construction of a Lung Adenocarcinoma Prognostic Model Utilizing Serine and Glycine Metabolism-Related Genes. J Proteome Res 2024; 23:797-808. [PMID: 38212294 DOI: 10.1021/acs.jproteome.3c00700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
The objective of this study was to construct a prognostic model by utilizing serine/glycine metabolism-related genes (SGMGs), thus establishing a risk score for lung adenocarcinoma (LUAD). Based on the TCGA-LUAD and SGMG data set, two subtypes with different SGMG expression levels were identified by clustering analysis. Thirteen differential expression genes were used to construct RiskScore by Cox regression. GSE72094 data set was used for validation. The survival characteristics, immune features, and potential benefits of chemotherapy drugs were analyzed for two risk groups. RiskScore was constructed based on the genes ABCC12, RIC3, CYP4B1, SFTPB, CACNA2D2, IGF2BP1, NTSR1, DKK1, CREG2, PITX3, RGS20, FETUB, and IGFBP1. Patients in the low-risk (LR) group exhibited a superior overall survival. In addition, aDCs, iDSs, mast cells, neutrophils, HLA, and type II IFN were more abundant in the LR group with higher IPS scores and lower TIDE scores. In contrast, NK cells, APC coinhibition, and MHC-I were more common in the high-risk (HR) group, which may be more sensitive to chemotherapy drugs such as cisplatin, oxaliplatin, and nilotinib. RiskScore was a promising biomarker that can be used to distinguish LUAD prognosis, immune features, and sensitivity to chemotherapy drugs.
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Affiliation(s)
- Dongdong Qi
- Department of Thoracic Surgery, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China
| | - Chengjun Liu
- Department of Thoracic Surgery, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China
| | - Zuwang Zhang
- Department of Thoracic Surgery, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China
| | - Xun Liu
- Department of Thoracic Surgery, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China
| | - Poming Kang
- Department of Thoracic Surgery, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China
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Liu S, Liang Z, Wang Y, Ren Y, Gu Y, Qiao Y, He H, Li Y, Cheng Y, Liu Y. MCM2 is involved in subtyping and tamoxifen resistance of ERα-positive breast cancer by acting as the downstream factor of ERα. Biotechnol J 2024; 19:e2300560. [PMID: 38403459 DOI: 10.1002/biot.202300560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/16/2023] [Accepted: 12/27/2023] [Indexed: 02/27/2024]
Abstract
Tamoxifen (TAM) resistance is finally developed in over 40% of patients with estrogen receptor α-positive breast cancer (ERα+ -BC), documenting that discovering new molecular subtype is needed to confer perception to the heterogeneity of ERα+ -BC. We obtained representative gene sets subtyping ERα+ -BC using gene set variation analysis (GSVA), non-negative matrix factorization (NMF), and COX regression methods on the basis of METABRIC, TCGA, and GEO databases. Furthermore, the risk score of ERα+ -BC subtyping was established using least absolute shrinkage and selection operator (LASSO) regression on the basis of genes in the representative gene sets, thereby generating the two subtypes of ERα+ -BC. We further found that minichromosome maintenance complex component 2 (MCM2) functioned as the hub gene subtyping ERα+ -BC using GO, KEGG, and MCODE. MCM2 expression was capable for specifically predicting 1-year overall survival (OS) of ERα+ -BC and correlated with T stage, AJCC stage, and tamoxifen (TAM) sensitivity of ERα+ -BC. The downregulation of MCM2 expression inhibited proliferation, migration, and invasion of TAM-resistant cells and promoted G0/G1 arrest. Altogether, tamoxifen resistance entails that MCM2 is a hub gene subtyping ERα+ -BC, providing a novel dimension for discovering a potential target of TAM-resistant BC.
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Affiliation(s)
- Sainan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Zhuoshuai Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Yujian Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Yaxuan Ren
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Yulu Gu
- NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China
| | - Yichun Qiao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Huan He
- NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China
| | - Yong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Yi Cheng
- Institute of Translational Medicine, the First Hospital of Jilin University, Changchun, China
| | - Yawen Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
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Pang X, Xie B, He Q, Xie X, Huang J, Tang K, Fang N, Xie H, Ma J, Ge X, Lan G, Liang S. Distinct Rates and Transmission Patterns of Major HIV-1 Subtypes among Men who Have Sex with Men in Guangxi, China. Front Microbiol 2024; 14:1339240. [PMID: 38282731 PMCID: PMC10822680 DOI: 10.3389/fmicb.2023.1339240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/14/2023] [Indexed: 01/30/2024] Open
Abstract
The diversity and transmission patterns of major HIV-1 subtypes among MSM population in Guangxi remains unknown. Understanding the characteristics is crucial for effective intervention strategies. Between 2016 and 2021, we recruited individuals newly diagnosed with HIV-1 from MSM population in Guangxi. HIV-1 pol region was amplified and sequenced, and constructed molecular network, assessed clustering rate, cluster growth rate, spatial clustering, and calculating the basic reproductive number (R0) based on sequences data. We identified 16 prevalent HIV-1 subtypes among Guangxi MSM, with CRF07_BC (53.1%), CRF01_AE (26.23%), and CRF55_01B (12.96%) predominating. In the network, 618 individuals (66.17%) formed 59 clusters. Factors contributing to clustering included age < 30 years (AOR = 1.35), unmarried status (AOR = 1.67), CRF07_BC subtype (AOR = 3.21), and high viral load (AOR = 1.43). CRF07_BC had a higher likelihood of forming larger clusters and having higher degree than CRF01_AE and CRF55_01B. Notably, CRF07_BC has higher cluster growth rate and higher basic reproductive number than CRF01_AE and CRF55_01B. Our findings underscore CRF07_BC as a prominent driver of HIV-1 spread among Guangxi's MSM population, highlighting the viability of targeted interventions directed at specific subtypes and super clusters to control HIV-1 transmission within this population.
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Affiliation(s)
- Xianwu Pang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Bo Xie
- School of Information and Management, Guangxi Medical University, Nanning, Guangxi, China
| | - Qin He
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Xing Xie
- The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China
| | - Jinghua Huang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Kailing Tang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Ningye Fang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Haoming Xie
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Jie Ma
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Xianmin Ge
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Shujia Liang
- Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Key Laboratory of AIDS Prevention Control and Translation, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China
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Moroder P, Lacheta L, Minkus M, Gebauer H, Paksoy A, Thiele K, Akgün D. SECEC Didier Patte Prize 2023: The ABC of Posterior Shoulder Instability. J Shoulder Elbow Surg 2024:S1058-2746(24)00020-X. [PMID: 38218406 DOI: 10.1016/j.jse.2023.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/16/2023] [Accepted: 11/19/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND The ABC classification has recently been proposed as a comprehensive classification system for posterior shoulder instability (PSI). The purpose of this study was to analyze the comprehensiveness as well as inter- and intra-rater reliability of the ABC classification. METHODS In a prospective study all consecutive patients presenting with unidirectional PSI from June 2019 to June 2021 were included. No patients were excluded, leaving a consecutive series of 100 cases in 91 patients. All recorded clinical and imaging data was used to create anonymized clinical case vignettes, which were evaluated twice according to the ABC classification at the end of the recruitment period in random sequential order by four independent raters, two experienced shoulder surgeons and two orthopedic residents in order to analyze the comprehensiveness as well as inter- and intra-rater reliability of the ABC classification for posterior shoulder instability and to describe differences in characteristics among subtypes. Group A was defined as first-time singular posterior shoulder instability event less than 3 months in the past regardless of etiology and is further subdivided in Type 1 and Type 2 depending on the occurrence of a subluxation (A1) or dislocation (A2). Group B comprises recurrent dynamic PSI regardless of time since onset and is further subdivided by the cause of instability in functional (B1) and structural (B2) dynamic PSI. Group C includes chronic static PSI with posterior humeral decentering that can either be constitutional (C1) or acquired (C2). RESULTS None of the cases was deemed unsuitable to be classified based on the proposed system by the observers. After consensus agreement between the two experts 16 cases were attributed to group A (A1: 8, A2: 8), 64 to group B (B1: 33, B2: 31), and 20 to group C (C1: 11, C2: 9). The expert raters agreed in 99% and 96% of the cases on the classification subtypes during the first and second rating (ICC: 0.998 and ICC: 0.99). The intraobserver reliability was excellent for both raters. The beginners reached the same conclusion as the consensus agreement in 94% (ICC: 0.99) and 89% of the cases (ICC: 0.97) during the first round and 94% each (ICC: 0.97) during the second round. The intraobserver reliability was excellent for both beginners. Overall, discrepancies between raters were found between groups B1 and B2 (n=14), B2 and C2 (n=4), B1 and C1 (n=1), as well as A1 and B2 (n=1). In general, each subtype shows distinctive clinical and imaging characteristics that facilitate the diagnosis. CONCLUSION The presented ABC classification for PSI is a comprehensive classification with a high reliability and reproducibility. However, a gradual transition and potential progression between the subtypes of PSI must be considered. The reliable distinction between different subtypes of PSI based on etiology and pathomechanism provides a standardized basis for future investigations on treatment recommendation.
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Affiliation(s)
| | - Lucca Lacheta
- Department of Sports Orthopedics, Technical University of Munich, Munich, Germany
| | - Marvin Minkus
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Musculoskeletal Surgery
| | - Henry Gebauer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Musculoskeletal Surgery
| | - Alp Paksoy
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Musculoskeletal Surgery
| | - Kathi Thiele
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Musculoskeletal Surgery
| | - Doruk Akgün
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Musculoskeletal Surgery.
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Karamendin K, Kydyrmanov A, Fereidouni S. Has avian influenza virus H9 originated from a bat source? Front Vet Sci 2024; 10:1332886. [PMID: 38260204 PMCID: PMC10801046 DOI: 10.3389/fvets.2023.1332886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Influenza A viruses are important pathogens that can cause diseases with high mortality in humans, animals, and birds; and wild birds are considered the primary reservoir of all subtypes in nature. After discovering the H9 influenza A viruses in bats, questions arose about their potential to serve as an additional natural reservoir and about the priority of the viral origin: Did the virus initially circulate in bats and then transmit to birds or vice versa? Influenza A viruses of the H9 subtype are of particular interest because fatal infections of humans caused by H5, H7, and H10 influenza viruses contained RNA segments from H9 viruses. Recently, a novel subtype of influenza A virus (H19) was reported and it was closely related to the H9 bat influenza A virus by its hemagglutinin structure. The genome of novel H19 has revealed a mixed characteristic genomic signature of both avian and bat influenza viruses. The time to most recent common ancestor (TMRCA) estimates have shown that the divergence time between the bat and avian H9-similar influenza virus occurred approximately at the end of the XVIII century. This article discusses the evolution and possible origin of influenza viruses of the H9 subtype isolated from bats and birds. The obtained data, along with the known data, suggest that the primary reservoir of the H9 influenza virus is wild birds, from which the virus was transmitted to bats. We hypothesize that the novel H19 could be a descendant of an intermediate influenza virus that was in the transition stage of spillover from avian to bat hosts.
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Affiliation(s)
- Kobey Karamendin
- Laboratory of Viral Ecology, Scientific and Production Center of Microbiology and Virology, Department of Virology, Almaty, Kazakhstan
| | - Aidyn Kydyrmanov
- Laboratory of Viral Ecology, Scientific and Production Center of Microbiology and Virology, Department of Virology, Almaty, Kazakhstan
| | - Sasan Fereidouni
- Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Vienna, Austria
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Santin M, Figueiredo A, Molokin A, George NS, Köster PC, Dashti A, González-Barrio D, Carmena D, Maloney JG. Division of Blastocystis ST10 into three new subtypes: ST42-ST44. J Eukaryot Microbiol 2024; 71:e12998. [PMID: 37658622 DOI: 10.1111/jeu.12998] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 09/03/2023]
Abstract
The Blastocystis subtype ST10 has been recognized to contain a great deal of diversity at the sequence level, potentially indicating the presence of multiple new STs within the clade. However, the data needed to validate these new STs were not available. To help resolve this diversity, full-length small subunit (SSU) rRNA gene reference sequences were generated using Oxford Nanopore MinION long-read sequencing from 21 samples representing multiple domestic and wild hosts and geographic regions and covering the sequence diversity previously described using fragments of the SSU rRNA gene. Phylogenetic and pairwise distance analyses were used to compare full-length sequences of the SSU rRNA gene generated in this study with all other valid STs of Blastocystis. We present data supporting the division of ST10/ST23 cluster into five subtypes, ST10, ST23, and three new subtypes with the proposed ST designations of ST42, ST43, and ST44. As the host range of Blastocystis continues to expand with new subtypes and new hosts being frequently identified, the reference sequences provided in this study will assist in accurate sequence classification and help to clarify the epidemiology of this common intestinal microeukaryote.
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Affiliation(s)
- Monica Santin
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, USA
| | - Ana Figueiredo
- Department of Biology and CESAM, University of Aveiro, Aveiro, Portugal
- Department of Bioscience, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
| | - Aleksey Molokin
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, USA
| | - Nadja S George
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, USA
| | - Pamela C Köster
- Parasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain
| | - Alejandro Dashti
- Parasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain
| | - David González-Barrio
- Parasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain
| | - David Carmena
- Parasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain
- CIBER Infectious Diseases (CIBERINFEC), Health Institute Carlos III, Madrid, Spain
| | - Jenny G Maloney
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, USA
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21
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Bowman EML, Brummel NE, Caplan GA, Cunningham C, Evered LA, Fiest KM, Girard TD, Jackson TA, LaHue SC, Lindroth HL, Maclullich AMJ, McAuley DF, Oh ES, Oldham MA, Page VJ, Pandharipande PP, Potter KM, Sinha P, Slooter AJC, Sweeney AM, Tieges Z, Van Dellen E, Wilcox ME, Zetterberg H, Cunningham EL. Advancing specificity in delirium: The delirium subtyping initiative. Alzheimers Dement 2024; 20:183-194. [PMID: 37522255 PMCID: PMC10917010 DOI: 10.1002/alz.13419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/26/2023] [Accepted: 07/10/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Delirium, a common syndrome with heterogeneous etiologies and clinical presentations, is associated with poor long-term outcomes. Recording and analyzing all delirium equally could be hindering the field's understanding of pathophysiology and identification of targeted treatments. Current delirium subtyping methods reflect clinically evident features but likely do not account for underlying biology. METHODS The Delirium Subtyping Initiative (DSI) held three sessions with an international panel of 25 experts. RESULTS Meeting participants suggest further characterization of delirium features to complement the existing Diagnostic and Statistical Manual of Mental Disorders Fifth Edition Text Revision diagnostic criteria. These should span the range of delirium-spectrum syndromes and be measured consistently across studies. Clinical features should be recorded in conjunction with biospecimen collection, where feasible, in a standardized way, to determine temporal associations of biology coincident with clinical fluctuations. DISCUSSION The DSI made recommendations spanning the breadth of delirium research including clinical features, study planning, data collection, and data analysis for characterization of candidate delirium subtypes. HIGHLIGHTS Delirium features must be clearly defined, standardized, and operationalized. Large datasets incorporating both clinical and biomarker variables should be analyzed together. Delirium screening should incorporate communication and reasoning.
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Affiliation(s)
- Emily M. L. Bowman
- Centre for Public HealthQueen's University Belfast, Block B, Institute of Clinical Sciences, Royal Victoria Hospital SiteBelfastNorthern Ireland
- Centre for Experimental MedicineQueen's University Belfast, Wellcome‐Wolfson Institute for Experimental MedicineBelfastNorthern Ireland
| | - Nathan E. Brummel
- The Ohio State University College of MedicineDivision of PulmonaryCritical Care, and Sleep MedicineColumbusOhioUSA
| | - Gideon A. Caplan
- Department of Geriatric MedicinePrince of Wales Hospital, Sydney, Australia University of New South WalesSydneyAustralia
| | - Colm Cunningham
- School of Biochemistry & ImmunologyTrinity Biomedical Sciences InstituteTrinity College, DublinRepublic of Ireland
| | - Lis A. Evered
- Department of AnesthesiologyWeill Cornell MedicineNew YorkNew YorkUSA
- Department of Critical CareUniversity of MelbourneMelbourneAustralia
- Department of Anaesthesia & Acute Pain MedicineSt. Vincent's HospitalMelbourneAustralia
| | - Kirsten M. Fiest
- Department of Community Health SciencesCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- Department of Critical Care MedicineUniversity of Calgary and Alberta Health ServicesCalgaryAlbertaCanada
- O'Brien Institute for Public HealthUniversity of CalgaryCalgaryAlbertaCanada
- Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
- Department of PsychiatryCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Timothy D. Girard
- Clinical ResearchInvestigation, and Systems Modeling of Acute Illness (CRISMA) CenterDepartment of Critical Care MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Thomas A. Jackson
- Institute of Inflammation and AgeingUniversity of BirminghamBirminghamUK
| | - Sara C. LaHue
- Department of NeurologySchool of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Weill Institute for NeurosciencesDepartment of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Buck Institute for Research on AgingNovatoCaliforniaUSA
| | - Heidi L. Lindroth
- Department of NursingMayo ClinicRochesterMinnesotaUSA
- Center for Aging ResearchRegenstrief InstituteSchool of MedicineIndiana UniversityIndianapolisIndianaUSA
| | - Alasdair M. J. Maclullich
- Edinburgh Delirium Research Group, Ageing and HealthUsher InstituteUniversity of EdinburghEdinburghUK
| | - Daniel F. McAuley
- Centre for Experimental MedicineQueen's University Belfast, Wellcome‐Wolfson Institute for Experimental MedicineBelfastNorthern Ireland
| | - Esther S. Oh
- Departments of MedicinePsychiatry and Behavioral Sciences and PathologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Mark A. Oldham
- Department of PsychiatryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | | | - Pratik P. Pandharipande
- Departments of Anesthesiology and SurgeryDivision of Anesthesiology Critical Care Medicine and Critical IllnessBrain Dysfunction, and Survivorship CenterVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Kelly M. Potter
- Clinical ResearchInvestigation, and Systems Modeling of Acute Illness (CRISMA) CenterDepartment of Critical Care MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Pratik Sinha
- Division of Clinical and Translational ResearchWashington University School of MedicineSt. LouisMissouriUSA
| | - Arjen J. C. Slooter
- Departments of Psychiatry and Intensive Care Medicine and UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversityUtrechtthe Netherlands
- Department of NeurologyUZ Brussel and Vrije Universiteit BrusselBrusselsBelgium
| | - Aoife M. Sweeney
- Centre for Public HealthQueen's University Belfast, Block B, Institute of Clinical Sciences, Royal Victoria Hospital SiteBelfastNorthern Ireland
| | - Zoë Tieges
- Edinburgh Delirium Research Group, Ageing and HealthUsher InstituteUniversity of EdinburghEdinburghUK
- School of ComputingEngineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowScotland
| | - Edwin Van Dellen
- Departments of Psychiatry and Intensive Care Medicine and UMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversityUtrechtthe Netherlands
- Department of NeurologyUZ Brussel and Vrije Universiteit BrusselBrusselsBelgium
| | - Mary Elizabeth Wilcox
- Department of Critical Care MedicineFaculty of Medicine and DentistryUniversity of AlbertaEdmontonAlbertaCanada
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyQueen SquareLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesClear Water BayHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Emma L. Cunningham
- Centre for Public HealthQueen's University Belfast, Block B, Institute of Clinical Sciences, Royal Victoria Hospital SiteBelfastNorthern Ireland
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22
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Suzuki T, Kondo S, Ogura Y, Otsuka M, Tokura Y. How Do Classical Subtypes Correspond to Endotypes in Atopic Dermatitis? Int J Mol Sci 2023; 25:265. [PMID: 38203432 PMCID: PMC10779290 DOI: 10.3390/ijms25010265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Since atopic dermatitis (AD) is a heterogeneous condition, the subtyping of AD is a crucial issue. The classical subtypes of AD are represented by extrinsic and intrinsic subtypes, European-American and Asian subtypes, and adult and pediatric subtypes. While the subtyping of AD was historically conducted based on the phenotype, recent findings on the mechanisms of AD have revealed the importance of the endotype, which can characterize individual patients more accurately. Considering the current development of AD therapies, AD endotyping is a prerequisite for a personalized therapeutic choice. Endotypes of AD can be stratified from different viewpoints, including cytokine expression patterns, allergen properties, epidermal barrier conditions, ceramide variation, the involvement of innate immunity, and serum biomarkers. Among them, the cytokine-based endotype seems to be the most useful one and is categorized into type 2 cytokine (IL-4, IL-13 and IL-31)-high, type 1 cytokine (IFN-γ)-high, and/or type 3 cytokine (IL-22 and IL-17)-high, or mixed subtypes. Recently proposed biomarker endotyping aims at individualized treatment options, although the daily clinical use of endotypes is a future issue. To better understand the endotypes for clinicians, attempts to adjust each of the classical subtypes to endotypes are required. This review will discuss the correspondence of the classical subtypes to the various endotypes that have recently been proposed.
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Affiliation(s)
- Tsuyoshi Suzuki
- Department of Dermatology & Skin Oncology, Chutoen General Medical Center, 1-1 Shobugaike, Kakegawa 436-8555, Japan; (T.S.); (S.K.); (Y.O.); (M.O.)
| | - Shumpei Kondo
- Department of Dermatology & Skin Oncology, Chutoen General Medical Center, 1-1 Shobugaike, Kakegawa 436-8555, Japan; (T.S.); (S.K.); (Y.O.); (M.O.)
| | - Yasuaki Ogura
- Department of Dermatology & Skin Oncology, Chutoen General Medical Center, 1-1 Shobugaike, Kakegawa 436-8555, Japan; (T.S.); (S.K.); (Y.O.); (M.O.)
| | - Masaki Otsuka
- Department of Dermatology & Skin Oncology, Chutoen General Medical Center, 1-1 Shobugaike, Kakegawa 436-8555, Japan; (T.S.); (S.K.); (Y.O.); (M.O.)
| | - Yoshiki Tokura
- Department of Dermatology & Skin Oncology, Chutoen General Medical Center, 1-1 Shobugaike, Kakegawa 436-8555, Japan; (T.S.); (S.K.); (Y.O.); (M.O.)
- Allergic Disease Research Center, Chutoen General Medical Center, 1-1 Shobugaike, Kakegawa 436-8555, Japan
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23
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Li Z, Zhang H, Wang X, Yang Y, Zhang Y, Zhuang Y, Wei Z, Yang Q, Gao E, Zhang Y, Cai S, Chen Z, Cai C, Bao J, Cheng J. Preoperative Subtyping of WHO Grade 1 Meningiomas Using a Single-Shot Ultrafast MR T2 Mapping. J Magn Reson Imaging 2023. [PMID: 38112331 DOI: 10.1002/jmri.29183] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Meningioma subtype is crucial in treatment planning and prognosis delineation, for grade 1 meningiomas. T2 relaxometry could provide detailed microscopic information but is often limited by long scanning times. PURPOSE To investigate the potential of T2 maps derived from multiple overlapping-echo detachment imaging (MOLED) for predicting meningioma subtypes and Ki-67 index, and to compare the diagnostic efficiency of two different region-of-interest (ROI) placements (whole-tumor and contrast-enhanced, respectively). STUDY TYPE Prospective. PHANTOM/SUBJECTS A phantom containing 11 tubes of MnCl2 at different concentrations, eight healthy volunteers, and 75 patients with grade 1 meningioma. FIELD STRENGTH/SEQUENCE 3 T scanner. MOLED, T2-weighted spin-echo sequence, T2-dark-fluid sequence, and postcontrast T1-weighted gradient echo sequence. ASSESSMENT Two ROIs were delineated: the whole-tumor area (ROI1) and contrast-enhanced area (ROI2). Histogram parameters were extracted from T2 maps. Meningioma subtypes and Ki-67 index were reviewed by a neuropathologist according to the 2021 classification criteria. STATISTICAL TESTS Linear regression, Bland-Altman analysis, Pearson's correlation analysis, independent t test, Mann-Whitney U test, Kruskal-Wallis test with Bonferroni correction, and multivariate logistic regression analysis with the P-value significance level of 0.05. RESULTS The MOLED T2 sequence demonstrated excellent accuracy for phantoms and volunteers (Meandiff = -1.29%, SDdiff = 1.25% and Meandiff = 0.36%, SDdiff = 2.70%, respectively), and good repeatability for volunteers (average coefficient of variance = 1.13%; intraclass correlation coefficient = 0.877). For both ROI1 and ROI2, T2 variance had the highest area under the curves (area under the ROC curve = 0.768 and 0.761, respectively) for meningioma subtyping. There was no significant difference between the two ROIs (P = 0.875). Significant correlations were observed between T2 parameters and Ki-67 index (r = 0.237-0.374). DATA CONCLUSION MOLED T2 maps can effectively differentiate between meningothelial, fibrous, and transitional meningiomas. Moreover, T2 histogram parameters were significantly correlated with the Ki-67 index. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Zongye Li
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongyan Zhang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiao Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yijie Yang
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, China
| | - Yue Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuchuan Zhuang
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Zhiliang Wei
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Qinqin Yang
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, China
| | - Eryuan Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuhui Cai
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, China
| | - Zhong Chen
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, China
| | - Congbo Cai
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, China
| | - Jianfeng Bao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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24
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Gao M, Huang J, Yang B, Liu Q, Luo M, Yang B, Li X, Liu X. Identification of efferocytosis-related subtypes in gliomas and elucidating their characteristics and clinical significance. Front Cell Dev Biol 2023; 11:1295891. [PMID: 38161335 PMCID: PMC10757721 DOI: 10.3389/fcell.2023.1295891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction: Gliomas, the most prevalent tumors of the central nervous system, are known for their aggressive nature and poor prognosis. The heterogeneity among gliomas leads to varying responses to the same treatments, even among similar glioma types. In our study, we efferocytosis-related subtypes and explored their characteristics in terms of immune landscape, intercellular communication, and metabolic processes, ultimately elucidating their potential clinical implications. Methods and Results: We first identified efferocytosis-related subtypes in Bulk RNA-seq using the NMF algorithm. We then preliminarily demonstrated the correlation of these subtypes with efferocytosis by examining enrichment scores of cell death pathways, macrophage infiltration, and the expression of immune ligands. Our analysis of single-cell RNA-seq data further supported the association of these subtypes with efferocytosis. Through enrichment analysis, we found that efferocytosis-related subtypes differ from other types of gliomas in terms of immune landscape, intercellular communication, and substance metabolism. Moreover, we found that the efferocytosis-related classification is a prognostic factor with robust predictive performance by calculating the AUC values. We also found that efferocytosis-related subtypes, when compared with other gliomas in drug sensitivity, survival, and TIDE scores, show a clear link to the effectiveness of chemotherapy, radiotherapy, and immunotherapy in glioma patients. Discussion: We identified efferocytosis-related subtypes in gliomas by analyzing the expression of 137 efferocytosis-associated genes, exploring their characteristics in immune landscape, intercellular communication, metabolic processes, and genomic variations. Moreover, we discovered that the classification of efferocytosis-related subtypes has a strong prognostic predictive power and holds potential significance in guiding clinical treatment.
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Affiliation(s)
- Mengge Gao
- Department of Clinical Nutrition, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
| | - Jinsheng Huang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bo Yang
- Department of Clinical Nutrition, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
| | - Qiong Liu
- Department of Clinical Nutrition, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
| | - Miaoqing Luo
- Department of Clinical Nutrition, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
| | - Biying Yang
- Department of Clinical Nutrition, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
| | - Xujia Li
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiaofang Liu
- Department of Clinical Nutrition, Huadu District People’s Hospital of Guangzhou, Southern Medical University, Guangzhou, China
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25
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Yoshimura J, Togami Y, Ebihara T, Matsumoto H, Mitsuyama Y, Sugihara F, Hirata H, Okuzaki D, Ogura H. Classification of patients with COVID-19 by blood RNA endotype: a prospective cohort study. Microbiol Spectr 2023; 11:e0264523. [PMID: 37966347 PMCID: PMC10715063 DOI: 10.1128/spectrum.02645-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/08/2023] [Indexed: 11/16/2023] Open
Abstract
IMPORTANCE In this study, whole-blood RNAs (prolactin and toll-like receptor 3) involved in the prognosis of patients with COVID-19 were identified. The RNA endotypes classified by these important RNAs highlight the possibility of stratifying the COVID-19 patient population and the need for targeted therapy based on these phenotypes.
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Affiliation(s)
- Jumpei Yoshimura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuki Togami
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takeshi Ebihara
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
| | - Hisatake Matsumoto
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
| | - Yumi Mitsuyama
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Fuminori Sugihara
- Core Instrumentation Facility, Immunology Frontier Research Center and Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Haruhiko Hirata
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Daisuke Okuzaki
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
- Laboratory of Human Immunology (Single Cell Genomics), WPI Immunology Research Center, Osaka University, Osaka, Japan
- Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
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26
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Chen R, Jiao Y, Zhu JS, Wang XH. Corrigendum: Frequency characteristics of temporal and spatial concordance among dynamic indices in inattentive and combined subtypes of attention deficit hyperactivity disorder. Front Neurosci 2023; 17:1343392. [PMID: 38161796 PMCID: PMC10756896 DOI: 10.3389/fnins.2023.1343392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024] Open
Abstract
[This corrects the article DOI: 10.3389/fnins.2023.1196290.].
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Affiliation(s)
- Ran Chen
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Yun Jiao
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Jun-Sa Zhu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Xun-Heng Wang
- Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou, China
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27
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Jackson TK, Sow Y, Ayoade KO, Seykora JT, Taylor SC, Ogunleye T. Central centrifugal cicatricial alopecia in males. J Am Acad Dermatol 2023; 89:1136-1140. [PMID: 37495175 DOI: 10.1016/j.jaad.2023.07.1011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 06/13/2023] [Accepted: 07/12/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Central centrifugal cicatricial alopecia (CCCA) is a scarring alopecia seen primarily in women of African descent but rarely reported in men. The etiology of CCCA is unknown, but genetic variants, type 2 diabetes mellitus, and bacterial infections may play a role. OBJECTIVES We aimed to characterize the demographics, medical histories, and clinical findings of male patients with CCCA with the hypothesis that features may differ from women. METHODS This was a case series of adult male patients with biopsy-confirmed CCCA seen at an academic dermatology department between 2012 and 2022. RESULTS In total, 17 males had a scalp biopsy and clinical findings consistent with CCCA. The average age was 43 years, and 88.2% of cases identified as Black race. Scalp pruritus was the most common symptom, and few patients endorsed high-risk hair care practices. None of the cases had diagnosis of type 2 diabetes mellitus, but 17.6% had history of latent tuberculosis, and 47.1% had a positive family history of alopecia. We observed 8 patients with atypical CCCA, and 29.4% had an overlapping scalp diagnosis. LIMITATIONS This study is limited by the single center, retrospective design and small sample size. CONCLUSIONS It is important to consider CCCA in the differential diagnosis of alopecia in adult Black males.
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Affiliation(s)
| | - Yacine Sow
- Morehouse School of Medicine, Atlanta, Georgia
| | - Katherine Omueti Ayoade
- Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - John T Seykora
- Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Abramson Cancer Center, Cell and Molecular Biology Graduate Group, Cutaneous Phenomics and Transcriptomics Core, Penn Skin Biology and Diseases Resource-based Center, Philadelphia, Pennsylvania
| | - Susan C Taylor
- Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Temitayo Ogunleye
- Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
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28
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Denize T, Meador CB, Rider AB, Ganci ML, Barth JL, Kem M, Mino-Kenudson M, Hung YP. Concordance of ASCL1, NEUROD1 and POU2F3 transcription factor-based subtype assignment in paired tumour samples from small cell lung carcinoma. Histopathology 2023; 83:912-924. [PMID: 37644667 DOI: 10.1111/his.15034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/27/2023] [Accepted: 08/10/2023] [Indexed: 08/31/2023]
Abstract
AIMS Small cell lung carcinoma (SCLC) can be classified into transcription factor-based subtypes (ASCL1, NeuroD1, POU2F3). While in-vitro studies suggest intratumoral heterogeneity in the expression of these markers, how SCLC subtypes vary over time and among locations in patients remains unclear. METHODS AND RESULTS We searched a consecutive series of patients at our institution in 2006-22 for those with greater than one available formalin-fixed paraffin-embedded SCLC sample in multiple sites and/or time-points. Immunohistochemistry for ASCL1, NeuroD1 and POU2F3 was performed and evaluated using H-scores, with subtype assigned based on the positive marker (H-score threshold >10) with the highest H-score. The 179 samples (75, lung; 51, lymph nodes; 53, non-nodal metastases) from 84 patients (74 with two, 10 with more than two samples) included 98 (54.7%) ASCL1-dominant, 47 (26.3%) NeuroD1-dominant, 15 (8.4%) POU2F3-dominant, 17 (9.5%) triple-negative and two (1.1%) ASCL1/NeuroD1 co-dominant samples. NeuroD1-dominant subtype was enriched in non-lung locations. Subtype concordance from pairwise comparison was 71.4% overall and 89.7% after accounting for ASCL1/NeuroD1-dual expressors and technical factors including <500 cells/slide, H-score thresholds and sample decalcification. No significant difference in subtype concordance was noted with a longer time lapse or with extrathoracic versus intrathoracic samples in this cohort. CONCLUSIONS After accounting for technical factors, transcription factor-based subtyping was discordant among multiple SCLC samples in ~10% of patients, regardless of sample locations and time lapse. Our findings highlighted the spatiotemporal heterogeneity of SCLC in clinical samples and potential challenges, including technical and biological factors, that might limit concordance in SCLC transcription factor-based subtyping.
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Affiliation(s)
- Thomas Denize
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Catherine B Meador
- Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Anna B Rider
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Maria L Ganci
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Jaimie L Barth
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Marina Kem
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Mari Mino-Kenudson
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Yin P Hung
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
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Hanyu H, Koyama Y, Horita H, Watanabe S, Sato T, Kanetaka H, Shimizu S, Hirao K. Longitudinal patterns of Alzheimer's disease subtypes: A follow-up magnetic resonance imaging and single-photon emission computed tomography study. Geriatr Gerontol Int 2023; 23:919-924. [PMID: 37905589 DOI: 10.1111/ggi.14712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 09/21/2023] [Accepted: 10/07/2023] [Indexed: 11/02/2023]
Abstract
AIM Alzheimer's disease (AD) is a biologically heterogenous disease. In a previous study, we classified 245 patients with probable AD into the typical AD (TAD), limbic-predominant (LP), hippocampal-sparing (HS) and minimal-change (MC) subtypes based on their medial temporal lobe atrophy on magnetic resonance imaging and posterior hypoperfusion on single-photon emission computed tomography, and described differences in clinical features among the patients with different AD subtypes. This study aimed to clarify the longitudinal patterns of changes in patients with the various AD subtypes by follow-up brain imaging analyses. METHODS Follow-up magnetic resonance imaging or single-photon emission computed tomography data obtained 12-48 months after the first brain imaging were investigated in 79 patients with probable AD, comprising 25 of the TAD subtype, 19 of the LP subtype, 17 of the HS subtype and 18 of the MC subtype. RESULTS All patients of the TAD subtype remained as the same subtype at follow up. Approximately 37% of patients of the LP subtype and 29% of patients of the HS subtype progressed to the TAD subtype, and 17%, 33% and 6% of the MC subtype progressed to the TAD, LP and HS subtypes, respectively. The group of patients showing subtype progression was associated only with a longer follow-up duration. CONCLUSIONS There might be different progression patterns and progression rates of changes among the atypical AD subtypes. Further longitudinal brain imaging studies might provide information regarding the pathophysiological association between the various AD subtypes, and might be helpful for determining appropriate therapies and management methods. Geriatr Gerontol Int 2023; 23: 919-924.
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Affiliation(s)
- Haruo Hanyu
- Dementia Research Center, Tokyo General Hospital, Tokyo, Japan
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Yumi Koyama
- Department of Rehabilitation, Tokyo General Hospital, Tokyo, Japan
| | - Haruka Horita
- Department of Rehabilitation, Tokyo General Hospital, Tokyo, Japan
| | | | - Tomohiko Sato
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Hidekazu Kanetaka
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Soichiro Shimizu
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Kentaro Hirao
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
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Guo X, Zhai G, Liu J, Zhang X, Zhang T, Cui D, Zhou R, Gao L. Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder. Autism Res 2023; 16:2275-2290. [PMID: 37815146 DOI: 10.1002/aur.3037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/20/2023] [Indexed: 10/11/2023]
Abstract
Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN). Then, the joint recurrence features for the time-varying FC were calculated to assess how the SN dynamically recruits different configurations of network segregation and integration in ASD, that is, synergies, from the dynamical systems perspective. We analyzed the differences in synergetic patterns between ASD subtypes obtained by k-means clustering algorithm based on the synergy of SN and TC, and investigated the relationships between synergy of SN and severity of clinical symptoms of ASD for ASD subtypes. Two ASD subtypes were revealed, where the synergy of SN in ASD subtype 1 has lower stability and periodicity compared to the TC, and ASD subtype 2 exhibits the opposite alteration. Synergy of SN for ASD subtype 1 and 2 was found to predict the severity of communication impairments and restricted and repetitive behaviors in ASD, respectively. These results suggest the existence of subtypes with distinct patterns of the synergy of SN in ASD, and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD.
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Affiliation(s)
- Xiaonan Guo
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
- Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China
| | - Guangjin Zhai
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
- Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China
| | - Junfeng Liu
- Department of Neurology, West China Hospital Sichuan University, Chengdu, China
| | - Xia Zhang
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
- Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China
| | - Tao Zhang
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
- Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China
| | - Dong Cui
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
- Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China
| | - Rongjuan Zhou
- Finance Department, Maternity and Child Health Hospital of Qinhuangdao, Qinhuangdao, China
| | - Le Gao
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
- Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China
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31
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Lin L, Li H, Wang X, Wang Z, Su G, Zhou J, Sun S, Ma X, Chen Y, You C, Gu Y. Components of the tumor immune microenvironment based on m-IHC correlate with prognosis and subtype of triple-negative breast cancer. Cancer Med 2023; 12:21639-21650. [PMID: 38059408 PMCID: PMC10757132 DOI: 10.1002/cam4.6718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 08/26/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND AND AIM The spatial distribution and interactions of cells in the tumor immune microenvironment (TIME) might be related to the different responses of triple-negative breast cancer (TNBC) to immunomodulators. The potential of multiplex IHC (m-IHC) in evaluating the TIME has been reported, but the efficacy is insufficient. We aimed to research whether m-IHC results could be used to reflect the TIME, and thus to predict prognosis and complement the TNBC subtyping system. METHODS The clinical, imaging, and prognosis data for 86 TNBC patients were retrospectively reviewed. CD3, CD4, CD8, Foxp3, PD-L1, and Pan-CK markers were stained by m-IHC. Particular cell spatial distributions and interactions in the TIME were evaluated with the HALO multispectral analysis platform. Then, we calculated the prognostic value of components of the TIME and their correlations with TNBC transcriptomic subtypes and MRI radiomic features reflecting TNBC subtypes. RESULTS The components of the TIME score were established by m-IHC and demonstrated positive prognostic value for TNBC (p = 0.0047, 0.039, <0.0001 for DMFS, RFS, and OS). The score was calculated from several indicators, including Treg% in the tumor core (TC) or stromal area (SA), PD-L1+ cell% in the SA, CD3 + cell% in the TC, and PD-L1+ /CD8+ cells in the invasive margin and SA. According to the TNBC subtyping system, a few TIME indicators were significantly different in different subtypes and significantly correlated with MRI radiomic features reflecting TNBC subtypes. CONCLUSION We demonstrated that the m-IHC-based quantitative score and indicators related to the spatial distribution and interactions of cells in the TIME can aid in the accurate diagnosis of TNBC in terms of prognosis and classification.
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Affiliation(s)
- Luyi Lin
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Haiming Li
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Xin Wang
- Department of PathologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Zezhou Wang
- Department of Cancer PreventionFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
- Shanghai Municipal Hospital Oncological Specialist AllianceShanghaiChina
| | - Guanhua Su
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Jiayin Zhou
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Shiyun Sun
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Xiaowen Ma
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Yan Chen
- Division of Cancer and Stem CellSchool of Medicine at University of NottinghamNottinghamUK
| | - Chao You
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
| | - Yajia Gu
- Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
- Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
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Fan H, Liu Z, Wu X, Yu G, Gu X, Kuang N, Zhang K, Liu Y, Jia T, Sahakian BJ, Robbins TW, Schumann G, Cheng W, Feng J, Becker B, Zhang J. Decoding anxiety-impulsivity subtypes in preadolescent internalising disorders: findings from the Adolescent Brain Cognitive Development study. Br J Psychiatry 2023; 223:542-554. [PMID: 37730654 DOI: 10.1192/bjp.2023.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
BACKGROUND Internalising disorders are highly prevalent emotional dysregulations during preadolescence but clinical decision-making is hampered by high heterogeneity. During this period impulsivity represents a major risk factor for psychopathological trajectories and may act on this heterogeneity given the controversial anxiety-impulsivity relationships. However, how impulsivity contributes to the heterogeneous symptomatology, neurobiology, neurocognition and clinical trajectories in preadolescent internalising disorders remains unclear. AIMS The aim was to determine impulsivity-dependent subtypes in preadolescent internalising disorders that demonstrate distinct anxiety-impulsivity relationships, neurobiological, genetic, cognitive and clinical trajectory signatures. METHOD We applied a data-driven strategy to determine impulsivity-related subtypes in 2430 preadolescents with internalising disorders from the Adolescent Brain Cognitive Development study. Cross-sectional and longitudinal analyses were employed to examine subtype-specific signatures of the anxiety-impulsivity relationship, brain morphology, cognition and clinical trajectory from age 10 to 12 years. RESULTS We identified two distinct subtypes of patients who internalise with comparably high anxiety yet distinguishable levels of impulsivity, i.e. enhanced (subtype 1) or decreased (subtype 2) compared with control participants. The two subtypes exhibited opposing anxiety-impulsivity relationships: higher anxiety at baseline was associated with higher lack of perseverance in subtype 1 but lower sensation seeking in subtype 2 at baseline/follow-up. Subtype 1 demonstrated thicker prefrontal and temporal cortices, and genes enriched in immune-related diseases and glutamatergic and GABAergic neurons. Subtype 1 exhibited cognitive deficits and a detrimental trajectory characterised by increasing emotional/behavioural dysregulations and suicide risks during follow-up. CONCLUSIONS Our results indicate impulsivity-dependent subtypes in preadolescent internalising disorders and unify past controversies about the anxiety-impulsivity interaction. Clinically, individuals with a high-impulsivity subtype exhibit a detrimental trajectory, thus early interventions are warranted.
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Affiliation(s)
- Huaxin Fan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Zhaowen Liu
- School of Computer Science, Northwestern Polytechnical University, China
| | - Xinran Wu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Gechang Yu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Xinrui Gu
- Sino-European School of Technology, Shanghai University, China
| | - Nanyu Kuang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Kai Zhang
- School of Computer Science and Technology, East China Normal University, Shanghai, China
| | - Yu Liu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Barbara J Sahakian
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK and Department of Psychiatry, University of Cambridge School of Clinical Medicine, UK
| | - Trevor W Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China; Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK and Department of Psychology, University of Cambridge, UK
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and PONS-Center, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Germany
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, China and Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Benjamin Becker
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
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Wang J, Li M, Li J, Deng R. Differences in drug resistance of HIV-1 genotypes in CSF and plasma and analysis of related factors. Virulence 2023; 14:2171632. [PMID: 36694270 PMCID: PMC9908293 DOI: 10.1080/21505594.2023.2171632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
The emergence of HIV drug resistance seriously affects the quality of life of patients. However, there has been no extensive study of CSF resistance. The aim of this study is to evaluate common HIV-1 resistance in CSF and compare it with resistance in matched plasma, and analyse the influencing factors of cerebrospinal fluid drug resistance. The matched CSF and plasma samples of 62 HIV-1 patients were tested at one study site in China (Chongqing; 2019-2022). HIV genotyping and drug resistance was evaluated using the Stanford v8.7 algorithm. The diagnosis and treatment data and basic information were collected from the clinical case system, and the influencing factors of drug resistance mutations in CSF was obtained by variance analysis. CSF and matched plasma HIV-1 subtypes were confirmed in 62 patients, and the most frequent recombinant form was CRF07-BC (64.5%). Thirteen patients (21.0%) were detected with drug-resistant mutations, and the sites were consistent in both CSF and matched plasma. The drug-resistant ratios of untreated patients and treated patients were 5/51 (9.8%) and 8/11 (72.7%), respectively. The type with the highest mutation frequency was NNRTI, and no mutation was found in INSTI. Multivariate analysis indicated that ARV treatment was associated with CSF resistance (P < 0.001). The subtypes and drug resistance mutation sites are consistent in CSF and matched plasma samples of HIV-1 patients, and there is a correlation between ARV treatment and possible drug resistance, especially in CSF reservoirs. These findings highlight the concern about CSF drug resistance in HIV patients.
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Affiliation(s)
- Jie Wang
- Central lab, Chongqing Public Health Medical Center, Chongqing, China
| | - Mei Li
- Central lab, Chongqing Public Health Medical Center, Chongqing, China
| | - Jungang Li
- Central lab, Chongqing Public Health Medical Center, Chongqing, China
| | - Renni Deng
- Central lab, Chongqing Public Health Medical Center, Chongqing, China,CONTACT Renni Deng
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Al-Shuhaib MBS, Alam S, Khan SA, Al-Shuhaib JMB, Chen YK, M Alshabrmi F. Hemagglutinin 3 and 8 can be the most efficient influenza subtypes for human host invasion; a comparative in silico approach. J Biomol Struct Dyn 2023:1-19. [PMID: 37965722 DOI: 10.1080/07391102.2023.2280674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/28/2023] [Indexed: 11/16/2023]
Abstract
The severity of the influenza virus infection is largely determined by its ability to invade the human host receptor. This critical step is conducted by utilizing hemagglutinin (HA) due to its binding with sialic acid 2,6 (SA). Though 18 subtypes (H1-H18) of HA have been identified, the most efficient one for conducting the host entry has not yet been resolved. This study aims to assess the severity of infections for HA variants by conducting a comparative docking of H1-H18 with the human SA receptor. Eighteen viral 3D structures were retrieved, minimized, and optimized for docking with human SA. In all retrieved structures, five conserved amino acid residues were selected for docking with human SA. Special protein grids were prepared by locating these five residues in the 18 selected subtypes. Results showed that H3 and H8 exerted the highest standard precision and extra precision docking scores, and the highest binding affinities with the human SA, respectively. Phylogenetic analyses confirmed the actual positioning of the selected 3D structures and showed these docked structures belonged to their usual classes due to the extremely close distances found in each docked subtype compared with its corresponding non-docked structures. H8-SA showed slightly better RMSD and SASA values than H3-SA, while H3-SIA showed more favourable radius of gyration scores than H8-SIA in the majority of the simulation period. Due to the highest affinity of binding of H3 and H8 with the human receptor, special caution should be exercised regarding any possible outbreak mediated by these subtypes in human populations. However, it is important to acknowledge a limitation inherent to the computational approach; it may hold relative rather than absolute significance. Further research is needed to deepen our understanding of the intricate interplay between HA variants and the host receptor, taking into account the broader context of viral infection dynamics.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
| | - Sarfaraz Alam
- Tunneling Group Biotechnology Centre, Gliwice, Poland
| | | | | | - Yan-Kun Chen
- School of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Fahad M Alshabrmi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia
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Belachew EB, Desta AF, Gebremariam TY, Deneke DB, Ashenafi S, Yeshi MM, Fenta BD, Alem AT, Alemu A, Abafogi AK, Desta T, Chanyalew M, Beshah D, Taylor L, Bauer M, Tsehay D, Girma S, Melka DS, Tessema TS, Kantelhardt EJ, Howe R. Immunohistochemistry-derived subtypes of breast cancer distribution in four regions of Ethiopia. Front Endocrinol (Lausanne) 2023; 14:1250189. [PMID: 38027092 PMCID: PMC10666628 DOI: 10.3389/fendo.2023.1250189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose Different biological characteristics, therapeutic responses, and disease-specific outcomes are associated with different molecular subtypes of breast cancer (BC). Although there have been different studies on BC in the Ethiopian capital city of Addis Ababa, there have been few studies in other parts of the nation, and none have evaluated biological characteristics in other locations in the context of the extensive ethnic and genetic diversity found in Ethiopia. This study was carried out to evaluate the distribution of immunohistochemistry (IHC) subtypes of BCs throughout four Ethiopian regions. Methods A total of 227 formalin-fixed paraffin-embedded (FFPE) tissue blocks were collected from tertiary hospitals in four Ethiopian regions between 2015 and 2021. The IHC staining was performed for subtyping, ER, PR, HER2, and Ki-67 proliferation markers. Results The mean age at diagnosis was 43.9 years. The percentage of ER and PR-negative tumors were 48.3% and 53.2%, respectively. The IHC subtypes showed the following distribution: 33.1% triple-negative breast cancer (TNBC), 27.6% luminal B, 25.2% luminal A, and 14.1% HER2 enriched. In multiple logistic regression analysis, grade III and HER2 positivity were associated with larger tumor size, and also originating from Jimma compared to Mekele. Conclusion Patients with ER-negative, PR-negative, and TNBC were found in 48.3%, 53.2%, and 33.1% of cases, respectively, showing that half the patients could potentially benefit from endocrine treatment. A considerably high prevalence of TNBC was reported in our study, demanding additional research that includes genetic predisposition factors. Additionally, aggressive tumors were found in a high percentage of younger age groups, which must be considered when planning personalized treatment strategies.
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Affiliation(s)
- Esmael Besufikad Belachew
- Biology Department, College of Natural and Computational Sciences, Mizan Tepi University, Mizan, Ethiopia
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Adey Feleke Desta
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tewodros Yalew Gebremariam
- Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital and Addis Ababa University, Addis Ababa, Ethiopia
| | - Dinikisira Bekele Deneke
- Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital and Addis Ababa University, Addis Ababa, Ethiopia
| | - Senait Ashenafi
- Department of Pathology, School of Medicine, College of Health Sciences, Tikur Anbessa Specialized Hospital and Addis Ababa University, Addis Ababa, Ethiopia
| | - Melisachew Mulatu Yeshi
- Department of Pathology, School of Medicine, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | | | | | - Addisu Alemu
- College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Abdo Kedir Abafogi
- Pathology Department, Jimma University Specialized Hospital, Jimma, Ethiopia
| | - Tigist Desta
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Menberework Chanyalew
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Daniel Beshah
- Department of Diagnostic Laboratory, Tikur Anbessa Specialized Hospital, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Lesley Taylor
- City of Hope National Medical Center, Duarte, CA, United States
| | - Marcus Bauer
- Global Health Working Group, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Dareskedar Tsehay
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Selfu Girma
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Daniel Seifu Melka
- Department of Biochemistry, Division of Basic Sciences, University of Global Health Equity, Kigali, Rwanda
| | | | - Eva J. Kantelhardt
- Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Medical Epidemiology, Biostatistics and Informatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Rawleigh Howe
- Non-Communicable Diseases (NCD) Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
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Odegard EA, Meeds HL, Kleiboeker SB, Ziady A, Sabulski A, Jodele S, Seif AE, Davies SM, Laskin BL, Blackard JT. BK Polyomavirus Diversity After Hematopoietic Stem Cell Transplantation. J Infect Dis 2023; 228:1208-1218. [PMID: 37165301 PMCID: PMC10629712 DOI: 10.1093/infdis/jiad117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/21/2023] [Indexed: 05/12/2023] Open
Abstract
BK polyomavirus (BKPyV) infection is common after hematopoietic stem cell transplantation (HSCT) and is associated with the development of hemorrhagic cystitis (HC). The role that BKPyV plays in the pathogenesis of HC is not well characterized. We investigated the impact of BKPyV diversity on the development of HC using a previously established cohort of pediatric HSCT patients. There were 147 urine samples with quantifiable BKPyV at month 1 after HSCT; 137 (93.2%) were amplified using our in-house polymerase chain reaction approach and sent for next-generation sequencing. Subtype Ia was most frequent (61.3%), followed by subtype Ib1 (31.4%). The median viral load of subtype Ia samples was higher than for subtype Ib1 at month 1. Across the protein coding regions, APOBEC-induced mutations and signature patterns associated with HC were identified. This is the largest sequencing study of a single cohort of HSCT patients, providing a vast resource of sequence data for future analyses.
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Affiliation(s)
- Elizabeth A Odegard
- Division of Digestive Diseases, University of Cincinnati College of Medicine, Ohio
| | - Heidi L Meeds
- Division of Digestive Diseases, University of Cincinnati College of Medicine, Ohio
| | | | - Assem Ziady
- Department of Pediatrics, University of Cincinnati College of Medicine, Ohio
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Ohio
| | - Anthony Sabulski
- Department of Pediatrics, University of Cincinnati College of Medicine, Ohio
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Ohio
| | - Sonata Jodele
- Department of Pediatrics, University of Cincinnati College of Medicine, Ohio
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Ohio
| | - Alix E Seif
- Perelman School of Medicine, University of Pennsylvania, Pennsylvania
- Division of Oncology, The Children's Hospital of Philadelphia, Pennsylvania
| | - Stella M Davies
- Department of Pediatrics, University of Cincinnati College of Medicine, Ohio
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Ohio
| | - Benjamin L Laskin
- Perelman School of Medicine, University of Pennsylvania, Pennsylvania
- Division of Nephrology, The Children's Hospital of Philadelphia, Pennsylvania
| | - Jason T Blackard
- Division of Digestive Diseases, University of Cincinnati College of Medicine, Ohio
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Depner JF, Berg T, Ejlertsen B, Andreasen LW, Møller S, Maraldo MV. Treating brain metastases in metastatic breast cancer: outcomes after stereotactic radiosurgery examined in a retrospective, single-center cohort analysis. Acta Oncol 2023; 62:1502-1510. [PMID: 37750329 DOI: 10.1080/0284186x.2023.2260942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/14/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION We examined the role of receptor profiles and other prognostic factors in survival outcomes after stereotactic radiosurgery (SRS) for brain metastases in breast cancer patients, to help improve selection of candidates for SRS. MATERIAL AND METHODS We included 149 consecutive patients who received SRS between 2012 and 2019 at the University Hospital of Copenhagen, Rigshospitalet, Denmark. Overall survival (OS) following SRS was determined through the Kaplan-Meier method, while CNS progression-free survival (CNS-PFS) was determined through competing risk analysis. Prognostic factors for both OS and CNS-PFS were evaluated through uni- and multivariate Cox regression and Fine-Gray models, respectively. The proportional hazards assumptions were tested through Schoenfeld residuals, and non-proportionality was accounted for by the inclusion of time-dependent variables. RESULTS Median OS was 14.8 months for the entire cohort and was as follows for the four receptor profiles: 33.3 months for ER+/HER2+ (ER: estrogen receptor, HER2: human epidermal growth factor receptor 2), 11.0 months for ER+/HER2-, 17.7 months for ER-/HER2+, and 5.3 months for ER-/HER2-. In the multivariate model, the ER-/HER2- receptor profile (hazard ratio (HR): 2.00, 95% confidence interval (CI): 1.09-3.67) and the presence of extracranial visceral metastases (HR: 2.90, 95% CI: 1.53-5.50) were associated with worse OS. The ER+/HER2+ receptor profile (HR: 0.43, 95% CI: 0.19-0.96) and 5+ lines of treatment (HR: 0.40, 95% CI: 0.20-0.82) were both associated with improved OS. For CNS-PFS, 5+ lines of treatment (sub-distributional hazard ratio (SHR): 2.88, 95% CI: 1.06-7.81) was associated with worse CNS-PFS, while extracranial visceral metastases (SHR: 0.54, 95% CI: 0.30-0.97) was associated with reduced risk of CNS progression - which is primarily due to patients with extracranial metastases dying before developing new CNS progression. CONCLUSION Extracranial visceral disease and the ER-/HER2- receptor profile were associated with poor survival outcomes following SRS.
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Affiliation(s)
- Julie F Depner
- Danish Breast Cancer Cooperative Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Tobias Berg
- Danish Breast Cancer Cooperative Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lærke W Andreasen
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Søren Møller
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Maja V Maraldo
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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Huang L, Xu Y, Gong X, Gao X. Anatomical phenotype of obstructive sleep apnea patients based on cluster analysis. Orthod Craniofac Res 2023; 26:608-617. [PMID: 36919983 DOI: 10.1111/ocr.12653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/19/2023] [Accepted: 03/05/2023] [Indexed: 03/16/2023]
Abstract
OBJECTIVES To generate a novel subtype of obstructive sleep apnea (OSA) based on anatomical features and verify the differences in the response of different subtypes to orthodontic treatment, thus providing a theoretical reference for clinical decision-making. MATERIALS AND METHODS A K-means cluster analysis was performed for this retrospective serial study, which includes 722 OSA patients, aged 44.0 (36.0, 54.0) years, 80.2% male, with apnea-hypopnea index (AHI) of 23.2 (13.4, 39.6) events·h-1 , and body mass index (BMI) of 25.47 ± 3.00 kg·m-2 . All samples were divided into three subtypes based on AHI, BMI, and five variables of craniofacial measurements. Sixty-seven cases with mandibular advancement devices (MAD) therapeutic results were further applied to validate the efficacy and side effects of this treatment in different subtypes. RESULTS Two hundred and thirty patients (31.9%) were characterized as cluster 1: AHI of 17.65 (11.80, 30.42) events·h-1 , BMI of 23.65 ± 2.62 kg·m-2 , with skeletal Class II high-angle shape. Cluster 2 included 278 patients (38.5%): AHI of 17.00 (11.00, 26.48) events·h-1 , BMI of 25.36 ± 2.53 kg·m-2 , soft palate length (SPL) of 39.25 mm (36.12, 42.20), with basically normal skeleton and normal airway size. Cluster 3, consisting of 214 patients (29.6%), exhibited a combination of anatomical deformity and obesity, with the highest AHI and BMI of 45.35 (30.42, 62.53) events·h-1 and 27.57 ± 2.59 kg·m-2 respectively, but less deformity degree than cluster 1. Cluster 2 had the highest response rate and relatively mild side effects with MAD. CONCLUSIONS Orthodontic treatment based on anatomical morphology could exert a better effect on mild-moderate OSA patients with mild skeletal deformity.
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Affiliation(s)
- Liping Huang
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China
| | - Ying Xu
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xu Gong
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xuemei Gao
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China
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Fujita H, Ueno T, Suzuki S, Harada K, Tsukahara-Kawamura T, Ozaki H, Uchio E. Classification of Subtypes of Vernal Keratoconjunctivitis by Cluster Analysis Based on Clinical Features. Clin Ophthalmol 2023; 17:3271-3279. [PMID: 37927573 PMCID: PMC10625392 DOI: 10.2147/opth.s431798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/13/2023] [Indexed: 11/07/2023] Open
Abstract
Background Vernal keratoconjunctivitis (VKC) is a refractory ocular allergic disorder that mainly affects boys. A few studies have attempted to develop a classification of subtypes of VKC. In this study, we investigated a computational approach called cluster analysis to separate VKC cases into groups based on clinically relevant characteristics. Methods In total, 41 consecutive patients clinically diagnosed with VKC at the Department of Ophthalmology of Fukuoka University Hospital were included. Patients were treated with immunosuppressive eye drops without simultaneous corticosteroid eye drops, except for the occurrence of exacerbations. Collated variables were age at onset, clinical score of ocular lesions at baseline, clinical score of ocular lesions at final visit, clinical score of atopic dermatitis (AD) at baseline, frequency of exacerbations of VKC, serum total IgE level and peripheral blood eosinophil count. Results VKC patients were grouped into three clusters by cluster analysis, and cluster 1, 2, and 3 comprised 25, 9 and 7 cases, respectively. There were differences in the incidence of complications of AD and age at onset among the clusters; therefore, we named the three clusters for better understanding as traditional VKC (cluster 1), early-onset atopic keratoconjunctivitis (AKC)/VKC (cluster 2) and puberty-onset AKC (cluster 3). Conclusion We found in this study that VKC in childhood has three phenotypes which were previously unknown. Our findings may help to establish precision medicine by focusing on the phenotype of each case to develop individualized medicine to prevent exacerbations.
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Affiliation(s)
- Hideaki Fujita
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
| | - Tomohiro Ueno
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
| | - Shuji Suzuki
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
| | - Kazuhiro Harada
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
| | | | - Hiroaki Ozaki
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
| | - Eiichi Uchio
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
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Mahoney M, Sriranganathan S, Dowden J, Seal M. A Population Description of Young Women with Breast Cancer in Newfoundland and Labrador. Curr Oncol 2023; 30:9602-9610. [PMID: 37999115 PMCID: PMC10670738 DOI: 10.3390/curroncol30110695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/25/2023] [Accepted: 10/25/2023] [Indexed: 11/25/2023] Open
Abstract
It has been well established in the literature that young women tend to carry more aggressive subtypes of breast cancer than their older-aged counterparts. The objective of this study was to describe the characteristics and outcomes of young women with breast cancer. In this retrospective analysis, data were collected for women under the age of 40 years who were diagnosed with breast cancer between 2008 and 2018 in the province of Newfoundland and Labrador. Specifically, data were collected on demographics, staging, pathological characteristics, treatment, and survival outcomes for young women with this disease. Results demonstrate that most of these women were diagnosed between the age of 35 and 39 years (91.2%). Most women presented with early-stage disease (stage I and II-66.4%), while 24% were stage III and 9.6% presented with stage IV metastatic disease. The prevalence of hormone-receptor-positive disease represented 41.9% of the cohort, with triple-negative and HER2+ measuring 27.7% and 30.4%, respectively. Five-year disease-free survival was 80.5% and overall survival was 82.7%. These findings provoke discussion regarding the intersecting roles of genetics, environment, and lifestyle in a region with some of the highest rates of malignancy in the country.
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Affiliation(s)
- Meghan Mahoney
- Discipline of Oncology, St. John’s, NL A1B 3V6, Canada;
- Faculty of Medicine, Memorial University, St. John’s, NL A1B 3V6, Canada;
| | | | - Jeff Dowden
- Cancer Care Program, Newfoundland & Labrador Health Services (NLHS), St. John’s, NL A1B 3V6, Canada;
| | - Melanie Seal
- Discipline of Oncology, St. John’s, NL A1B 3V6, Canada;
- Faculty of Medicine, Memorial University, St. John’s, NL A1B 3V6, Canada;
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Li Z, Liu X, Wang L, Zhao H, Wang S, Yu G, Wu D, Chu J, Han J. Integrated analysis of single-cell RNA-seq and bulk RNA-seq reveals RNA N6-methyladenosine modification associated with prognosis and drug resistance in acute myeloid leukemia. Front Immunol 2023; 14:1281687. [PMID: 38022588 PMCID: PMC10644381 DOI: 10.3389/fimmu.2023.1281687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Acute myeloid leukemia (AML) is a type of blood cancer that is identified by the unrestricted growth of immature myeloid cells within the bone marrow. Despite therapeutic advances, AML prognosis remains highly variable, and there is a lack of biomarkers for customizing treatment. RNA N6-methyladenosine (m6A) modification is a reversible and dynamic process that plays a critical role in cancer progression and drug resistance. Methods To investigate the m6A modification patterns in AML and their potential clinical significance, we used the AUCell method to describe the m6A modification activity of cells in AML patients based on 23 m6A modification enzymes and further integrated with bulk RNA-seq data. Results We found that m6A modification was more effective in leukemic cells than in immune cells and induced significant changes in gene expression in leukemic cells rather than immune cells. Furthermore, network analysis revealed a correlation between transcription factor activation and the m6A modification status in leukemia cells, while active m6A-modified immune cells exhibited a higher interaction density in their gene regulatory networks. Hierarchical clustering based on m6A-related genes identified three distinct AML subtypes. The immune dysregulation subtype, characterized by RUNX1 mutation and KMT2A copy number variation, was associated with a worse prognosis and exhibited a specific gene expression pattern with high expression level of IGF2BP3 and FMR1, and low expression level of ELAVL1 and YTHDF2. Notably, patients with the immune dysregulation subtype were sensitive to immunotherapy and chemotherapy. Discussion Collectively, our findings suggest that m6A modification could be a potential therapeutic target for AML, and the identified subtypes could guide personalized therapy.
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Affiliation(s)
- Zhongzheng Li
- State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, China
| | - Xin Liu
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Lan Wang
- State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, China
| | - Huabin Zhao
- State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, China
| | - Shenghui Wang
- State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, China
| | - Guoying Yu
- State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, China
| | - Depei Wu
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Jianhong Chu
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Jingjing Han
- The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
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Wang Q, Tang Z, Li C, Li X, Su C. Evaluating distinct KRAS subtypes as potential biomarkers for immune checkpoint inhibitor efficacy in lung adenocarcinoma. Front Immunol 2023; 14:1297588. [PMID: 37954616 PMCID: PMC10635421 DOI: 10.3389/fimmu.2023.1297588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023] Open
Abstract
Background Despite the acknowledged predictive value of KRAS in immune checkpoint inhibitor (ICI) responses, the heterogeneous behavior of its mutations in this sphere remains largely unexplored. As of now, no studies have definitively categorized KRAS subtype variations as independent prognostic indicators for ICI responses in lung cancer patients. Methods We analyzed a cohort of 103 patients, all harboring different KRAS mutation subtypes, and complemented this data with information from TCGA and GEO databases. Our research focused on delineating the relationships between KRAS mutation subtypes and factors like immunotherapy markers and immune cell composition, in addition to examining survival rates, drug sensitivity, and PD-L1 responses corresponding to distinct KRAS subtypes. Results We found that the G12V and G12D subtypes demonstrated elevated expressions of immunotherapy markers, implying a potentially enhanced benefit from immunotherapy. Significant variations were identified in the distribution of naive B cells, activated CD4+ memory T cells, and regulatory T cells (Tregs) across different KRAS mutant subtypes. A notable difference was observed in the Tumor Mutation Burden (TMB) levels across the four KRAS subtypes, with the G12D subtype displaying the lowest TMB level. Furthermore, G12C subtype showcased the worst prognosis in terms of progression-free intervals (PFI), in stark contrast to the more favorable outcomes associated with the G12A subtype. Conclusion Our study reveals that KRAS mutations exhibit considerable variability in predicting outcomes for LUAD patients undergoing ICI treatment. Thus, the evaluation of KRAS as a biomarker for ICIs necessitates recognizing the potential diversity inherent in KRAS mutations.
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Affiliation(s)
- Qi Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhuoran Tang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Chunyu Li
- Department of Integrated Traditional Chinese and Western Medicine, International Medical School, Tianjin Medical University, Tianjin, China
| | - Xuefei Li
- Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
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Zhang Y, Zhang C, Li K, Deng J, Liu H, Lai G, Xie B, Zhong X. Identification of Molecular Subtypes and Prognostic Characteristics of Adrenocortical Carcinoma Based on Unsupervised Clustering. Int J Mol Sci 2023; 24:15465. [PMID: 37895143 PMCID: PMC10607826 DOI: 10.3390/ijms242015465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/11/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with a poor prognosis. Increasing evidence highlights the significant role of immune-related genes (IRGs) in ACC progression and immunotherapy, but the research is still limited. Based on the Cancer Genome Atlas (TCGA) database, immune-related molecular subtypes were identified by unsupervised consensus clustering. Univariate Cox analysis and Least Absolute Shrinkage and Selection Operator (LASSO) regression were employed to further establish immune-related gene signatures (IRGS). An evaluation of immune cell infiltration, biological function, tumor mutation burden (TMB), predicted immunotherapy response, and drug sensitivity in ACC patients was conducted to elucidate the applicative efficacy of IRGS in precision therapy. ACC patients were divided into two molecular subtypes through consistent clustering. Furthermore, the 3-gene signature (including PRKCA, LTBP1, and BIRC5) based on two molecular subtypes demonstrated consistent prognostic efficacy across the TCGA and GEO datasets and emerged as an independent prognostic factor. The low-risk group exhibited heightened immune cell infiltration, TMB, and immune checkpoint inhibitors (ICIs), associated with a favorable prognosis. Pathways associated with drug metabolism, hormone regulation, and metabolism were activated in the low-risk group. In conclusion, our findings suggest IRGS can be used as an independent prognostic biomarker, providing a foundation for shaping future ACC immunotherapy strategies.
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Affiliation(s)
| | | | | | | | | | | | - Biao Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China; (Y.Z.); (C.Z.); (K.L.); (J.D.); (H.L.); (G.L.)
| | - Xiaoni Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China; (Y.Z.); (C.Z.); (K.L.); (J.D.); (H.L.); (G.L.)
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Chen R, Jiao Y, Zhu JS, Wang XH. Frequency characteristics of temporal and spatial concordance among dynamic indices in inattentive and combined subtypes of attention deficit hyperactivity disorder. Front Neurosci 2023; 17:1196290. [PMID: 37928723 PMCID: PMC10620509 DOI: 10.3389/fnins.2023.1196290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023] Open
Abstract
Numerous voxel-based resting-state functional magnetic resonance imaging (rs-fMRI) measurements have been used to characterize spontaneous brain activity in attention deficit hyperactivity disorder (ADHD). However, the practical distinctions and commonalities among these intrinsic brain activity measures remain to be fully explored, and whether the functional concordance is related to frequency is still unknown. The study included 25 ADHD, combined type (ADHD-C); 26 ADHD, inattentive type (ADHD-I); and 28 typically developing (TD) children. We calculated the voxel-wise (temporal) and volume-wise (spatial) concordance among dynamic rs-fMRI indices in the slow-5 (0.01-0.027 Hz) and slow-4 (0.027-0.073 Hz) frequency bands, respectively. The spatiotemporal concordance within the slow-4 and slow-5 bands among the ADHD-C, ADHD-I, and TD groups was compared. Although the ADHD-C and ADHD-I groups showed similar volume-wise concordance, comparison analysis revealed that compared with ADHD-C patients, ADHD-I patients exhibited decreased voxel-wise concordance in the right median cingulate and paracingulate gyrus (MCC) and right supplementary motor area (SMA) in the slow-5 band. In addition, the voxel-wise concordance was negatively correlated with the diagnostic scores of ADHD subtypes. Our results suggest that functional concordance is frequency dependent, and dynamic concordance analysis based on specific frequency bands may provide a novel approach for investigating the pathophysiological differences among ADHD subtypes.
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Affiliation(s)
- Ran Chen
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Yun Jiao
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Jun-Sa Zhu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Xun-Heng Wang
- Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou, China
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Robinson K, Mosley TJ, Rivera-González KS, Jabbarpour CR, Curtis SW, Adeyemo WL, Beaty TH, Butali A, Buxó CJ, Cutler DJ, Epstein MP, Gowans LJ, Hecht JT, Murray JC, Shaw GM, Uribe LM, Weinberg SM, Brand H, Marazita ML, Lipinski RJ, Leslie EJ. Trio-based GWAS identifies novel associations and subtype-specific risk factors for cleft palate. HGG Adv 2023; 4:100234. [PMID: 37719664 PMCID: PMC10502411 DOI: 10.1016/j.xhgg.2023.100234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
Cleft palate (CP) is one of the most common craniofacial birth defects; however, there are relatively few established genetic risk factors associated with its occurrence despite high heritability. Historically, CP has been studied as a single phenotype, although it manifests across a spectrum of defects involving the hard and/or soft palate. We performed a genome-wide association study using transmission disequilibrium tests of 435 case-parent trios to evaluate broad risks for any cleft palate (ACP) (n = 435), and subtype-specific risks for any cleft soft palate (CSP), (n = 259) and any cleft hard palate (CHP) (n = 125). We identified a single genome-wide significant locus at 9q33.3 (lead SNP rs7035976, p = 4.24 × 10-8) associated with CHP. One gene at this locus, angiopoietin-like 2 (ANGPTL2), plays a role in osteoblast differentiation. It is expressed both in craniofacial tissue of human embryos and developing mouse palatal shelves. We found 19 additional loci reaching suggestive significance (p < 5 × 10-6), of which only one overlapped between groups (chromosome 17q24.2, ACP and CSP). Odds ratios for the 20 loci were most similar across all 3 groups for SNPs associated with the ACP group, but more distinct when comparing SNPs associated with either subtype. We also found nominal evidence of replication (p < 0.05) for 22 SNPs previously associated with orofacial clefts. Our study to evaluate CP risks in the context of its subtypes and we provide newly reported associations affecting the broad risk for CP as well as evidence of subtype-specific risks.
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Affiliation(s)
- Kelsey Robinson
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Trenell J. Mosley
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Kenneth S. Rivera-González
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Christopher R. Jabbarpour
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Sarah W. Curtis
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Wasiu Lanre Adeyemo
- Department of Oral and Maxillofacial Surgery, College of Medicine, University of Lagos, Lagos 101017, Nigeria
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Azeez Butali
- Department of Oral Biology, Radiology, and Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Carmen J. Buxó
- School of Dental Medicine, University of Puerto Rico, San Juan, PR 00925, USA
| | - David J. Cutler
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | | | - Lord J.J. Gowans
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Jacqueline T. Hecht
- Department of Pediatrics, McGovern Medical School University of Texas Health at Houston, Houston, TX 77030, USA
| | - Jeffrey C. Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
| | - Lina Moreno Uribe
- Department of Orthodontics & The Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA 52242, USA
| | - Seth M. Weinberg
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, and Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Harrison Brand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, and Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Robert J. Lipinski
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
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Jiang Y, Luo C, Wang J, Palaniyappan L, Chang X, Xiang S, Zhang J, Duan M, Huang H, Gaser C, Nemoto K, Miura K, Hashimoto R, Westlye LT, Richard G, Fernandez-Cabello S, Parker N, Andreassen OA, Kircher T, Nenadić I, Stein F, Thomas-Odenthal F, Teutenberg L, Usemann P, Dannlowski U, Hahn T, Grotegerd D, Meinert S, Lencer R, Tang Y, Zhang T, Li C, Yue W, Zhang Y, Yu X, Zhou E, Lin CP, Tsai SJ, Rodrigue AL, Glahn D, Pearlson G, Blangero J, Karuk A, Pomarol-Clotet E, Salvador R, Fuentes-Claramonte P, Garcia-León MÁ, Spalletta G, Piras F, Vecchio D, Banaj N, Cheng J, Liu Z, Yang J, Gonul AS, Uslu O, Burhanoglu BB, Demir AU, Rootes-Murdy K, Calhoun VD, Sim K, Green M, Quidé Y, Chung YC, Kim WS, Sponheim SR, Demro C, Ramsay IS, Iasevoli F, de Bartolomeis A, Barone A, Ciccarelli M, Brunetti A, Cocozza S, Pontillo G, Tranfa M, Park MTM, Kirschner M, Georgiadis F, Kaiser S, Rheenen TEV, Rossell SL, Hughes M, Woods W, Carruthers SP, Sumner P, Ringin E, Spaniel F, Skoch A, Tomecek D, Homan P, Homan S, Omlor W, Cecere G, Nguyen DD, Preda A, Thomopoulos S, Jahanshad N, Cui LB, Yao D, Thompson PM, Turner JA, van Erp TG, Cheng W, Feng J. Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia. medRxiv 2023:2023.10.11.23296862. [PMID: 37873296 PMCID: PMC10593004 DOI: 10.1101/2023.10.11.23296862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Machine learning can be used to define subtypes of psychiatric conditions based on shared clinical and biological foundations, presenting a crucial step toward establishing biologically based subtypes of mental disorders. With the goal of identifying subtypes of disease progression in schizophrenia, here we analyzed cross-sectional brain structural magnetic resonance imaging (MRI) data from 4,291 individuals with schizophrenia (1,709 females, age=32.5 years±11.9) and 7,078 healthy controls (3,461 females, age=33.0 years±12.7) pooled across 41 international cohorts from the ENIGMA Schizophrenia Working Group, non-ENIGMA cohorts and public datasets. Using a machine learning approach known as Subtype and Stage Inference (SuStaIn), we implemented a brain imaging-driven classification that identifies two distinct neurostructural subgroups by mapping the spatial and temporal trajectory of gray matter (GM) loss in schizophrenia. Subgroup 1 (n=2,622) was characterized by an early cortical-predominant loss (ECL) with enlarged striatum, whereas subgroup 2 (n=1,600) displayed an early subcortical-predominant loss (ESL) in the hippocampus, amygdala, thalamus, brain stem and striatum. These reconstructed trajectories suggest that the GM volume reduction originates in the Broca's area/adjacent fronto-insular cortex for ECL and in the hippocampus/adjacent medial temporal structures for ESL. With longer disease duration, the ECL subtype exhibited a gradual worsening of negative symptoms and depression/anxiety, and less of a decline in positive symptoms. We confirmed the reproducibility of these imaging-based subtypes across various sample sites, independent of macroeconomic and ethnic factors that differed across these geographic locations, which include Europe, North America and East Asia. These findings underscore the presence of distinct pathobiological foundations underlying schizophrenia. This new imaging-based taxonomy holds the potential to identify a more homogeneous sub-population of individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors.
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Affiliation(s)
- Yuchao Jiang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Xiao Chang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Jie Zhang
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Mingjun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Huan Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Neurology, Jena University Hospital, Jena, Germany
- German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany
| | - Kiyotaka Nemoto
- Department of Psychiatry, Division of Clinical Medicine, Institute of Medicine, University of Tsukuba, Tsukuba, 305-8575, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
| | - Lars T. Westlye
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Genevieve Richard
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Sara Fernandez-Cabello
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Nadine Parker
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Paula Usemann
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Rebekka Lencer
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry and Psychotherapie and Center for Brain, Behavior and Metabolism, Lübeck University, Lübeck, Germany
- Institute for Transnational Psychiatry and Otto Creutzfeldt Center for Behavioral and Cognitive Neuroscience, University of Münster, Münster, Germany
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, PR China
- Chinese Institute for Brain Research, Beijing, PR China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, PR China
| | - Yuyanan Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, PR China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, PR China
| | - Enpeng Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, PR China
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Amanda L. Rodrigue
- Department of Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston MA, USA
| | - David Glahn
- Department of Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston MA, USA
| | - Godfrey Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA
| | - Andriana Karuk
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona 08035, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona 08035, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona 08035, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Spain
| | - Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona 08035, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Spain
| | - María Ángeles Garcia-León
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona 08035, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Spain
| | - Gianfranco Spalletta
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Fabrizio Piras
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Daniela Vecchio
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nerisa Banaj
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhening Liu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR China
| | - Jie Yang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR China
| | - Ali Saffet Gonul
- Ege University School of Medicine Department of Psychiatry, SoCAT Lab, Izmir, Turkey
| | - Ozgul Uslu
- Ege University Institute of Health Sciences Department of Neuroscience, Izmir, Turkey
| | | | - Aslihan Uyar Demir
- Ege University School of Medicine Department of Psychiatry, SoCAT Lab, Izmir, Turkey
| | - Kelly Rootes-Murdy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, USA
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, USA
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Melissa Green
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Yann Quidé
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Young Chul Chung
- Department of Psychiatry, Jeonbuk National University Hospital, Jeonju, Korea
- Department of Psychiatry, Jeonbuk National University, Medical School, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Woo-Sung Kim
- Department of Psychiatry, Jeonbuk National University Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Scott R. Sponheim
- Minneapolis VA Medical Center, University of Minnesota, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Caroline Demro
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Ian S. Ramsay
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Felice Iasevoli
- Section of Psychiatry - Department of Neuroscience - University “Federico II”, Naples, Italy
| | - Andrea de Bartolomeis
- Section of Psychiatry - Department of Neuroscience - University “Federico II”, Naples, Italy
| | - Annarita Barone
- Section of Psychiatry - Department of Neuroscience - University “Federico II”, Naples, Italy
| | - Mariateresa Ciccarelli
- Section of Psychiatry - Department of Neuroscience - University “Federico II”, Naples, Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences - University “Federico II”, Naples, Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences - University “Federico II”, Naples, Italy
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences - University “Federico II”, Naples, Italy
| | - Mario Tranfa
- Department of Advanced Biomedical Sciences - University “Federico II”, Naples, Italy
| | - Min Tae M. Park
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Centre for Addiction and Mental Health, Toronto, Canada
| | - Matthias Kirschner
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Switzerland
| | - Foivos Georgiadis
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Switzerland
| | - Stefan Kaiser
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Switzerland
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Australia
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Susan L Rossell
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Matthew Hughes
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - William Woods
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Sean P Carruthers
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Philip Sumner
- Centre for Mental Health and Brain Sciences, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Elysha Ringin
- National Institute of Mental Health, Klecany, Czech Republic
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech Republic
- MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech Republic
- Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Philipp Homan
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich & Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| | - Stephanie Homan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Switzerland
- Experimental Psychopathology and Psychotherapy, Department of Psychology, University of Zurich, Switzerland
| | - Wolfgang Omlor
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Giacomo Cecere
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Dana D Nguyen
- Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA
| | - Sophia Thomopoulos
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Long-Biao Cui
- Department of Clinical Psychology, Fourth Military Medical University, Xi’an, PR China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China
| | - Paul M. Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jessica A. Turner
- Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, USA
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine Hall, room 109, Irvine, CA, 92697-3950, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, 92697, USA
| | - Wei Cheng
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | | | | | - Jianfeng Feng
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
- School of Data Science, Fudan University, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
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Pósfai B, Sánta F, Schubert A, Semjén D, Jenei A, Varga L, Kuthi L. [Morphological variants of the invasive urothelial cell carcinoma.]. Orv Hetil 2023; 164:1567-1582. [PMID: 37987709 DOI: 10.1556/650.2023.32881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 07/27/2023] [Indexed: 11/22/2023]
Abstract
Urothelial cell carcinoma is the most common malignant tumor of the urinary tract, which develops in the renal pelvis, ureter, and bladder, and rarely it develops in the ureter. Histologically, urothelial cell carcinoma is categorized into non-invasive and invasive forms. Non-invasive urothelial cell carcinoma has papillary growth, it is usually well differentiated, and has a favorable outcome, while invasive urothelial cell carcinoma infiltratively spreads the organs of origin, it is typically poorly differentiated, and often associated with a poor prognosis. In the case of invasive urothelial cell carcinoma, the clinical course is primarily determined by the depth of invasion, but according to recent data, morphological variants of urothelial cell carcinoma respond differently to oncological treatments, and their biological behavior is also distinct. These subtypes and variants are significantly underdiagnosed in Hungary and internationally because the criteria for histological diagnosis are not clear for many subsets. The latest 2022 WHO classification of urinary tract tumors significantly clarified the definitions of various subtypes and variants. In this paper, utilizing the current classification, we review and explain these subtypes' morphological, immunohistochemical, differential diagnostic, prognostic, and predictive characteristics intending to make them appear as much as possible in everyday diagnostic practice. Also, the work aims to present the individual urothelial cell carcinoma subtypes and variants to the Hungarian community of pathologists, oncologists, and urologists, so that the previously high level of urological oncology care can become even more personalized. Orv Hetil. 2023; 164(40): 1567-1582.
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Affiliation(s)
- Boglárka Pósfai
- 1 Szegedi Tudományegyetem, Szent-Györgyi Albert Orvostudományi Kar, Pathologiai Intézet Szeged, Állomás u. 1., 6725 Magyarország
| | - Fanni Sánta
- 1 Szegedi Tudományegyetem, Szent-Györgyi Albert Orvostudományi Kar, Pathologiai Intézet Szeged, Állomás u. 1., 6725 Magyarország
| | - Anna Schubert
- 1 Szegedi Tudományegyetem, Szent-Györgyi Albert Orvostudományi Kar, Pathologiai Intézet Szeged, Állomás u. 1., 6725 Magyarország
| | - Dávid Semjén
- 2 Pécsi Tudományegyetem, Általános Orvostudományi Kar és Klinikai Központ, Pathologiai Intézet Pécs Magyarország
| | - Alex Jenei
- 3 Semmelweis Egyetem, Általános Orvostudományi Kar, Patológiai és Kísérleti Rákkutató Intézet Budapest Magyarország
| | - Linda Varga
- 4 Szegedi Tudományegyetem, Szent-Györgyi Albert Orvostudományi Kar, Onkoterápiás Klinika Szeged Magyarország
| | - Levente Kuthi
- 1 Szegedi Tudományegyetem, Szent-Györgyi Albert Orvostudományi Kar, Pathologiai Intézet Szeged, Állomás u. 1., 6725 Magyarország
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Chaiworapongsa T, Romero R, Gomez-Lopez N, Suksai M, Gallo DM, Jung E, Berry SM, Awonuga A, Tarca AL, Bryant DR. Preeclampsia at term: evidence of disease heterogeneity based on the profile of circulating cytokines and angiogenic factors. Am J Obstet Gynecol 2023:S0002-9378(23)00731-7. [PMID: 37806612 DOI: 10.1016/j.ajog.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/29/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Intravascular inflammation and an antiangiogenic state have been implicated in the pathophysiology of preeclampsia. On the basis of the profiles of their angiogenic/antiangiogenic factors, women with preeclampsia at term may be classified into 2 subgroups with different characteristics and prevalence of adverse outcomes. This study was undertaken to examine whether these 2 subgroups of preeclampsia at term also show differences in their profiles of intravascular inflammation. OBJECTIVE This study aimed to determine the plasma profiles of cytokines and chemokines in women with preeclampsia at term who had a normal or an abnormal angiogenic profile. STUDY DESIGN A nested case-control study was conducted to include women classified into 3 groups: women with an uncomplicated pregnancy (n=213) and women with preeclampsia at term with a normal (n=55) or an abnormal (n=41) angiogenic profile. An abnormal angiogenic profile was defined as a plasma ratio of placental growth factor and soluble fms-like tyrosine kinase-1 multiple of the median <10th percentile for gestational age. Concentrations of cytokines were measured by multiplex immunoassays. RESULTS Women with preeclampsia at term and an abnormal angiogenic profile showed evidence of the greatest intravascular inflammation among the study groups. These women had higher plasma concentrations of 5 cytokines (interleukin-6, interleukin-8, interleukin-12/interleukin-23p40, interleukin-15, and interleukin-16) and 7 chemokines (eotaxin, eotaxin-3, interferon-γ inducible protein-10, monocyte chemotactic protein-4, macrophage inflammatory protein-1β, macrophage-derived chemokine, and thymus and activation-regulated chemokine compared to women with an uncomplicated pregnancy. By contrast, women with preeclampsia at term and a normal angiogenic profile, compared to women with an uncomplicated pregnancy, had only a higher plasma concentration of monocyte chemotactic protein-4. A correlation between severity of the antiangiogenic state, blood pressure, and plasma concentrations of a subset of cytokines was observed. CONCLUSION Term preeclampsia can be classified into 2 clusters. One is characterized by an antiangiogenic state coupled with an excessive inflammatory process, whereas the other has neither of these features. These findings further support the heterogeneity of preeclampsia at term and may explain the distinct clinical outcomes.
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Affiliation(s)
- Tinnakorn Chaiworapongsa
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Roberto Romero
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI.
| | - Nardhy Gomez-Lopez
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Biochemistry, Microbiology and Immunology, Wayne State University School of Medicine, Detroit, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI
| | - Manaphat Suksai
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Dahiana M Gallo
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Obstetrics and Gynecology, University of Valle, Cali, Colombia
| | - Eunjung Jung
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Obstetrics and Gynecology, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Stanley M Berry
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Awoniyi Awonuga
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Adi L Tarca
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI
| | - David R Bryant
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
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Wu R, Oshi M, Asaoka M, Yan L, Benesch MG, Khoury T, Nagahashi M, Miyoshi Y, Endo I, Ishikawa T, Takabe K. Intratumoral Tumor Infiltrating Lymphocytes (TILs) are Associated With Cell Proliferation and Better Survival But Not Always With Chemotherapy Response in Breast Cancer. Ann Surg 2023; 278:587-597. [PMID: 37318852 PMCID: PMC10481934 DOI: 10.1097/sla.0000000000005954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
OBJECTIVE To investigate the clinical relevance of intratumoral tumor infiltrating lymphocytes (TILs) in breast cancer as measured by computational deconvolution of bulk tumor transcriptomes. SUMMARY BACKGROUND DATA Commonly assessed TILs, located in tumor stroma without direct contact with cancer cells (stromal TILs), correlate with breast cancer treatment response and survival. The clinical relevance of intratumoral TILs has been less studied partly due to their rarity; however, they may have nonnegligible effects given their direct contact with cancer cells. METHODS In all, 5870 breast cancer patients from TCGA, METABRIC, GSE96058, GSE25066, GSE163882, GSE123845, and GSE20271 cohorts were analyzed and validated. RESULTS The intratumoral TIL score was established by the sum of all types of lymphocytes using the xCell algorithm. This score was the highest in triple-negative breast cancer (TNBC) and the lowest in the ER-positive/HER2-negative subtype. It correlated with cytolytic activity and infiltrations of dendritic cells, macrophages, and monocytes, and uniformly enriched immune-related gene sets regardless of subtype. Intratumoral TIL-high tumors correlated with higher mutation rates and significant cell proliferation on biological, pathological, and molecular analyses only in the ER-positive/HER2-negative subtype. It was significantly associated with pathological complete response after anthracycline- and taxane-based neoadjuvant chemotherapy in about half of the cohorts, regardless of the subtype. Intratumoral TIL-high tumors correlated with better overall survival in HER2-positive and TNBC subtypes consistently in 3 cohorts. CONCLUSIONS Intratumoral TILs estimated by transcriptome computation were associated with increased immune response and cell proliferation in ER-positive/HER2-negative and better survival in HER2-positive and TNBC subtypes, but not always with pathological complete response after neoadjuvant chemotherapy.
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Affiliation(s)
- Rongrong Wu
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, Japan
| | - Masanori Oshi
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
| | - Mariko Asaoka
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, Japan
| | - Li Yan
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Matthew G.K. Benesch
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Thaer Khoury
- Department of Pathology & Laboratory Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Masayuki Nagahashi
- Division of Breast and Endocrine Surgery, Department of Surgery, Hyogo Medical University School of Medicine, Nishinomiya, Hyogo, Japan
| | - Yasuo Miyoshi
- Division of Breast and Endocrine Surgery, Department of Surgery, Hyogo Medical University School of Medicine, Nishinomiya, Hyogo, Japan
| | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
| | - Takashi Ishikawa
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, Japan
| | - Kazuaki Takabe
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, Japan
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY
- Department of Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
- Department of Breast Surgery, Fukushima Medical University, Fukushima, Japan
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50
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Song G, Chen Y, Luo X, Gong T, Yang H, Zhou J, Li C, Chen M. Amide proton transfer-weighted MRI features of acute ischemic stroke subtypes. NMR Biomed 2023; 36:e4983. [PMID: 37259224 DOI: 10.1002/nbm.4983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 02/14/2023] [Accepted: 05/13/2023] [Indexed: 06/02/2023]
Abstract
Stroke is a highly heterogeneous disorder with distinct subtypes, and the stroke subtype influences the outcome. Amide proton transfer-weighted (APTW) MRI has been demonstrated to be promising in stroke patients, but the image characteristics of stroke subtypes have not been sufficiently investigated. The purpose of this study was to investigate the APTW MRI features of different subtypes of acute ischemic stroke (AIS). Ninety-two AIS patients presenting within 96 h of symptom onset were enrolled and examined with a 3.0-T MRI system. Patients were grouped into four subtypes: lacunar circulation infarcts (LACI, n = 33); total anterior circulation infarcts (TACI, n = 9); partial anterior circulation infarcts (PACI, n = 28); and posterior circulation infarcts (POCI, n = 22). APTW values in the lesion (APTWlesion ) and the contralateral normal-appearing region (APTWcontral ) were measured. The change in APTW values between the acute ischemic lesion and the contralateral normal-appearing region (APTWles-con ) was calculated. A two-sample t-test, one-way ANOVA, and the Chi-square method were used. There were significant differences between APTWlesion and APTWcontral in the three categories of nonlacunar strokes (TACI, PACI, and POCI, all p < 0.01), but not for lacunar strokes (LACI, p = 0.080). TACI patients had the lowest APTWlesion and APTWles-con in all groups (p < 0.05). In the POCI group, patients with supratentorial infarcts showed significant differences between APTWlesion and APTWcontral (p = 0.001), while the differences were not significant for infratentorial infarcts (p = 0.135). Our results suggest that the APT effect was heterogeneous in different stroke subtypes, and that APTW MRI gave an excellent performence in depicting nonlacunar AIS in supratentorial locations.
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Affiliation(s)
- Guodong Song
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yuhui Chen
- Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaojie Luo
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Tao Gong
- Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Huan Yang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jinyuan Zhou
- Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Chunmei Li
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Min Chen
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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