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Sharma J, Deo SVS, Kumar S, Barwad AW, Rastogi S, Sharma DN, Singh G, Bhoriwal S, Mishra A, K R, Saikia J, Mandal A, Bansal B, Gaur M. Clinicopathological Profile and Survival Outcomes in Patients with Localised Extremity Synovial Sarcomas. Clin Oncol (R Coll Radiol) 2024; 36:e97-e104. [PMID: 38326122 DOI: 10.1016/j.clon.2024.01.018] [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: 07/18/2023] [Revised: 12/11/2023] [Accepted: 01/26/2024] [Indexed: 02/09/2024]
Abstract
AIMS Synovial sarcoma is a rare but aggressive variant of soft-tissue sarcoma. Literature is sparse and reported mostly from the West. We analysed the clinical profiles and prognostic factors of extremity synovial sarcoma patients in order to study their clinical journey. MATERIALS AND METHODS This was a retrospective analysis. All patients with extremity synovial sarcoma treated between 1992 and 2020 were included. Patients with metastases at presentation were excluded. A descriptive analysis of demographic and clinicopathological features of patients undergoing limb salvage surgery (LSS) or amputation was carried out. Overall survival and disease-free survival were calculated for the entire cohort as well as for the LSS and amputation groups. Factors prognostic for survival were identified. RESULTS In total, 157 patients had localised extremity synovial sarcoma. Predominantly, young adults (median 31 years) and males (61%) were affected. Over 70% of patients presented after recurrence or unplanned surgeries. Sixty-seven per cent of tumours were >5 cm, 69% were deep and 23% involved bone. The limb salvage rate was 64%. In the LSS group, adjuvant radiotherapy and chemotherapy were given to 72% and 68% of patients, respectively. In the amputation group, 72% of patients received adjuvant chemotherapy. In a median follow-up of 59 months, 39.4% of patients had recurrences, the majority (61.2%) were systemic. Five-year overall survival and disease-free survival were 53.4% and 49.8%, respectively. Overall survival was 63.9% and 29.7% in the LSS and amputation groups, respectively. On multivariate analysis, tumour size, depth, omission of radiotherapy and bone invasion were found to be the adverse prognostic factors. CONCLUSION This is one of the largest studies on extremity synovial sarcoma. Mostly males and young adults were affected. The limb salvage rate was 64%, despite most being referred after unplanned surgery. Almost 70% of patients received radiotherapy and chemotherapy. Overall survival was inferior in the amputation group. Tumour size >5 cm, depth and bone invasion were negative, whereas adjuvant radiotherapy was a positive prognostic factor for survival. Chemotherapy had no impact on survival.
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Affiliation(s)
- J Sharma
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India.
| | - S V S Deo
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - S Kumar
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - A W Barwad
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - S Rastogi
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - D N Sharma
- Department of Radiation Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - G Singh
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - S Bhoriwal
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - A Mishra
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - R K
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - J Saikia
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - A Mandal
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - B Bansal
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - M Gaur
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
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Sharma J, Yadav U, Tej V, Malik R, Sarawagi R, Rahman N, Kumar A, Patel A, Bhagat AC. Infantile fetiform abdominal mass: Teratoma or fetus in fetu? A case report with insights into radiological diagnosis and surgical management. Radiol Case Rep 2024; 19:1304-1308. [PMID: 38292806 PMCID: PMC10825550 DOI: 10.1016/j.radcr.2023.12.031] [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: 08/09/2023] [Revised: 12/01/2023] [Accepted: 12/18/2023] [Indexed: 02/01/2024] Open
Abstract
Fetus-in-fetu (FIF) is a rare congenital anomaly in which a malformed parasitic twin develops within the body of a live fetus or child. Abdominal teratoma, a type of germ cell tumor, can be a great imaging mimicker of FIF and vice-versa, as they both can present as a heterogeneous mass with calcifications and a fat component. Radiological differentiation of these 2 entities should be made because of the difference in surgical planning and treatment options. Features such as visualization of distinct bony vertebral elements and encysted cystic components are the specific features of Fetus in fetu [1]. In contrast, the presence of elevated serum markers can help diagnose teratoma. Here, we report a case of a 5-month-old girl presented with progressive distension of the upper abdomen for the last 2 months, noticed by her mother. Her initial imaging with abdominal X-ray and ultrasonography showed the presence of a large heterogenous solid-cystic mass in the upper abdomen with large elongated calcifications. A provisional diagnosis of teratoma vs FIF was considered. CECT abdomen showed clear identification of osseous structures of the axial and appendicular skeleton within a fat density mass, along with an encapsulated cystic component, strongly suggestive of FIF. Her serum tumor markers were within normal limits. The final diagnosis of FIF was confirmed on Laparotomy and postoperative specimens.
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Affiliation(s)
- Jitendra Sharma
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Upasna Yadav
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Varun Tej
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Rajesh Malik
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Radha Sarawagi
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Nadeem Rahman
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Aman Kumar
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Ankur Patel
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
| | - Abhinav C. Bhagat
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, Madhya Pradesh, India
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Sharma J, Malik R, Ahmed R. Antenatal diagnosis of congenital pouch colon: a case report from the Indian subcontinent with insights into management. BJR Case Rep 2024; 10:uaad005. [PMID: 38352258 PMCID: PMC10860509 DOI: 10.1093/bjrcr/uaad005] [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: 08/22/2023] [Revised: 09/30/2023] [Accepted: 11/10/2023] [Indexed: 02/16/2024] Open
Abstract
Congenital pouch colon (CPC) is highly uncommon congenital anorectal malformation where a distended pouch-like structure replaces either some part of the colon or the entire colon and communicates to the genitourinary tract through a fistula. Diagnosis of CPC is usually made after birth when neonate/infant presents with abdominal distension and absence of anal opening. Making antenatal diagnosis of CPC is difficult because of the lack of specific and verifiable signs on sonography. Hence, only a few cases of antenatal diagnosis of CPC have been reported.1,2 In our case, CPC was suspected on a routine antenatal growth scan ultrasound in the late third trimester, showing a hypoechoic tubular-shaped lesion in the pre-sacral region. With this suspicion, we suggested an institutional delivery at a tertiary level centre, and diagnosis of type III CPC was confirmed on post-delivery imaging and emergency primary surgery, done on the day 3 of life (pouch resection, division of fistula, and protective colostomy). The child also underwent further corrective surgeries in a staged manner in second year of life and recovered completely. Beforehand diagnosis prevented any unnecessary delay in operative care, reduced postoperative complications, and improved the overall outcome of this otherwise complex condition.
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Affiliation(s)
- Jitendra Sharma
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, MP, 462020, India
| | - Rajesh Malik
- Department of Radiodiagnosis, AIIMS Bhopal, Bhopal, MP, 462020, India
| | - Reyaz Ahmed
- Department of Paediatric surgery, AIIMS Bhopal, Bhopal, MP, 462020, India
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Takahashi AM, Sharma J, Guarin DO, Miller J, Wakimoto H, Cahill DP, Yen YF. Inductively coupled, transmit-receive coils for proton MRI and X-nucleus MRI/MRS in small animals. J Magn Reson Open 2023; 16-17:100123. [PMID: 38046795 PMCID: PMC10691784 DOI: 10.1016/j.jmro.2023.100123] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
We report several inductively coupled RF coil designs that are very easy to construct, produce high signal-to-noise ratio (SNR) and high spatial resolution while accommodating life support, anesthesia and monitoring in small animals. Inductively coupled surface coils were designed for hyperpolarized 13 C MR spectroscopic imaging (MRSI) of mouse brain, with emphases on the simplicity of the circuit design, ease of use, whole-brain coverage, and high SNR. The simplest form was a resonant loop designed to crown the mouse head for a snug fit to achieve full coverage of the brain with high sensitivity when inductively coupled to a broadband pick-up coil. Here, we demonstrated the coil's performance in hyperpolarized 13 C MRSI of a normal mouse and a glioblastoma mouse model at 4.7 T. High SNR exceeding 70:1 was obtained in the brain with good spatial resolution (1.53 mm × 1.53 mm). Similar inductively coupled loop for other X-nuclei can be made very easily in a few minutes and achieve high performance, as demonstrated in 31 P spectroscopy. Similar design concept was expanded to splitable, inductively coupled volume coils for high-resolution proton MRI of marmoset at 3T and 9.4T, to easily accommodate head restraint, vital-sign monitoring, and anesthesia delivery.
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Affiliation(s)
- Atsushi M. Takahashi
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA 02139, USA
| | - Jitendra Sharma
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA 02139, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Stanley Center for Psychiatric Research, Broad Institute, MIT, Cambridge, MA 02139, USA
- Tan and Yang Center for Autism Research, McGovern Institute for Brain Research, MIT, Cambridge MA 02139, USA
| | - David O. Guarin
- Polarize ApS, Frederiksberg 1808, Denmark
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Julie Miller
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Daniel P. Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Yi-Fen Yen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA
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Krienen FM, Levandowski KM, Zaniewski H, del Rosario RC, Schroeder ME, Goldman M, Wienisch M, Lutservitz A, Beja-Glasser VF, Chen C, Zhang Q, Chan KY, Li KX, Sharma J, McCormack D, Shin TW, Harrahill A, Nyase E, Mudhar G, Mauermann A, Wysoker A, Nemesh J, Kashin S, Vergara J, Chelini G, Dimidschstein J, Berretta S, Deverman BE, Boyden E, McCarroll SA, Feng G. A marmoset brain cell census reveals regional specialization of cellular identities. Sci Adv 2023; 9:eadk3986. [PMID: 37824615 PMCID: PMC10569717 DOI: 10.1126/sciadv.adk3986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 09/26/2023] [Indexed: 10/14/2023]
Abstract
The mammalian brain is composed of many brain structures, each with its own ontogenetic and developmental history. We used single-nucleus RNA sequencing to sample over 2.4 million brain cells across 18 locations in the common marmoset, a New World monkey primed for genetic engineering, and examined gene expression patterns of cell types within and across brain structures. The adult transcriptomic identity of most neuronal types is shaped more by developmental origin than by neurotransmitter signaling repertoire. Quantitative mapping of GABAergic types with single-molecule FISH (smFISH) reveals that interneurons in the striatum and neocortex follow distinct spatial principles, and that lateral prefrontal and other higher-order cortical association areas are distinguished by high proportions of VIP+ neurons. We use cell type-specific enhancers to drive AAV-GFP and reconstruct the morphologies of molecularly resolved interneuron types in neocortex and striatum. Our analyses highlight how lineage, local context, and functional class contribute to the transcriptional identity and biodistribution of primate brain cell types.
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Affiliation(s)
- Fenna M. Krienen
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kirsten M. Levandowski
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Heather Zaniewski
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ricardo C.H. del Rosario
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Margaret E. Schroeder
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Melissa Goldman
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Martin Wienisch
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alyssa Lutservitz
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Victoria F. Beja-Glasser
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Cindy Chen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Qiangge Zhang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ken Y. Chan
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Katelyn X. Li
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jitendra Sharma
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dana McCormack
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Tay Won Shin
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Howard Hughes Medical Institute, Cambridge, MA 02139, USA
| | - Andrew Harrahill
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Eric Nyase
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Gagandeep Mudhar
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA
| | - Abigail Mauermann
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Howard Hughes Medical Institute, Cambridge, MA 02139, USA
| | - Alec Wysoker
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - James Nemesh
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Seva Kashin
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Josselyn Vergara
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Gabriele Chelini
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura n.1, Rovereto (TN) 38068, Italy
| | - Jordane Dimidschstein
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sabina Berretta
- Basic Neuroscience Division, McLean Hospital, Belmont, MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Benjamin E. Deverman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ed Boyden
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Howard Hughes Medical Institute, Cambridge, MA 02139, USA
| | - Steven A. McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Guoping Feng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
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Iyer A, Ndlovu Z, Sharma J, Mansoor H, Bharati M, Kolan S, Morales M, Das M, Issakidis P, Ferlazzo G, Hirani N, Joshi A, Tipre P, Sutar N, England K. Operationalising targeted next-generation sequencing for routine diagnosis of drug-resistant TB. Public Health Action 2023; 13:43-49. [PMID: 37359066 PMCID: PMC10290261 DOI: 10.5588/pha.22.0041] [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: 06/15/2022] [Accepted: 02/24/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Phenotypic drug susceptibility testing (pDST) for Mycobacterium tuberculosis can take up to 8 weeks, while conventional molecular tests identify a limited set of resistance mutations. Targeted next-generation sequencing (tNGS) offers rapid results for predicting comprehensive drug resistance, and this study sought to explore its operational feasibility within a public health laboratory in Mumbai, India. METHODS Pulmonary samples from consenting patients testing Xpert MTB-positive were tested for drug resistance by conventional methods and using tNGS. Laboratory operational and logistical implementation experiences from study team members are shared below. RESULTS Of the total number of patients tested, 70% (113/161) had no history of previous TB or treatment; however, 88.2% (n = 142) had rifampicin-resistant/multidrug-resistant TB (RR/MDR-TB). There was a high concordance between resistance predictions of tNGS and pDST for most drugs, with tNGS more accurately identifying resistance overall. tNGS was integrated and adapted into the laboratory workflow; however, batching samples caused significantly longer result turnaround time, fastest at 24 days. Manual DNA extraction caused inefficiencies; thus protocol optimisations were performed. Technical expertise was required for analysis of uncharacterised mutations and interpretation of report templates. tNGS cost per sample was US$230, while for pDST this was US$119. CONCLUSIONS Implementation of tNGS is feasible in reference laboratories. It can rapidly identify drug resistance and should be considered as a potential alternative to pDST.
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Affiliation(s)
- A Iyer
- Médecins Sans Frontières (MSF), Mumbai, India
| | - Z Ndlovu
- MSF, Southern African Medical Unit, Cape Town, South Africa
- Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - J Sharma
- Médecins Sans Frontières (MSF), Mumbai, India
| | - H Mansoor
- Médecins Sans Frontières (MSF), Mumbai, India
| | - M Bharati
- Médecins Sans Frontières (MSF), Mumbai, India
| | - S Kolan
- Médecins Sans Frontières (MSF), Mumbai, India
| | - M Morales
- Médecins Sans Frontières (MSF), Mumbai, India
| | - M Das
- Médecins Sans Frontières (MSF), Mumbai, India
| | - P Issakidis
- MSF, Southern African Medical Unit, Cape Town, South Africa
| | - G Ferlazzo
- MSF, Southern African Medical Unit, Cape Town, South Africa
| | - N Hirani
- Department of Mycobacteriology, Sir JJ Group of Hospitals, Mumbai, India
| | - A Joshi
- Department of Mycobacteriology, Sir JJ Group of Hospitals, Mumbai, India
| | - P Tipre
- National Tuberculosis Elimination Programme, Mumbai, India
| | - N Sutar
- National Tuberculosis Elimination Programme, Mumbai, India
| | - K England
- Independent Consultant, Honolulu, HI, USA
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Puri P, Singh R, Sharma J. Micro-/bio-/nano-/syn-encapsulations and co-treatments of bioactive microbial feed supplementation in augmenting finfish health and aquaculture nutrition: a review. Benef Microbes 2023:1-22. [PMID: 37282556 DOI: 10.3920/bm2022.0087] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Finfish and fish products are globally the most acknowledged health-promoting foods. The rising incidence of pathogenic and disease outbreaks have had a sizeable impact on aquaculture. Microbial supplementation of food in the form of probiotics, prebiotics, and their controlled release combinations (=co-encapsulations) as 'synbiotics' is noted for its significant biotherapeutic and health benefits. Supplementation of probiotic microbial feed additives in the fish diet claims to improve fish health by modulation of resident intestinal microbiota and by introducing healthy microbiota procured from an exogenous source, capable of combating pathogens, improving nutrient uptake, assimilation, growth as well as survival. Prebiotics are selectively digestible substrates beneficially used by host gut microbes to enhance probiotic effects. Formulating a fish diet with augmented probiotics and prebiotic microbial bio-supplements can ensure a sustainable alternative for establishing fish health in a naturally susceptible aquaculture scenario. Micro-encapsulation, co-encapsulation, and nano-encapsulation are novel strategies of biotechnical interventions in functional feeds for finfish. These aim to improve probiotic persistence, survivability, and efficacy in commercial formulations during probiotic transit through the host-gut environment. This review discusses the importance of co-treatment and encapsulation strategies for improving probiotic and prebiotic potential in aquafeed formulations, reliably improving finfish health and nutritional returns from aquaculture, and, consequently, for consumers.
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Affiliation(s)
- P Puri
- Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi 110042, India
- Department of Zoology, Sri Aurobindo College, University of Delhi, Delhi 110017, India
| | - R Singh
- Department of Applied Chemistry, Delhi Technological University, Delhi 110042, India
| | - J Sharma
- Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi 110042, India
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Bala R, Budhwar D, Kumar V, Singhal S, Kaushik P, Sharma J. Clinical and ultrasonographic assessment of airway indices among non-pregnant, normotensive pregnant and pre-eclamptic patients: a prospective observational study. Int J Obstet Anesth 2023; 54:103637. [PMID: 36827944 DOI: 10.1016/j.ijoa.2023.103637] [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: 06/23/2022] [Revised: 01/05/2023] [Accepted: 01/25/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND Prediction of a difficult airway is of paramount importance for an anaesthesiologist. Various anatomical and physiological factors contribute to a difficult airway in pregnant females, especially those with pre-eclampsia. The aim of the study was to assess airway indices using both routinely used clinical methods and ultrasound. METHODS Fifty-five non-pregnant females, 55 normotensive pregnant females and 55 females with pre-eclampsia were included in this prospective study. Clinical airway assessment was the modified Mallampati score, thyromental distance, hyomental distance, hyomental distance ratio, chest circumference, neck circumference and chest-to-neck circumference ratio. Sonographic assessment included tongue width, tongue volume, anterior neck soft tissue thickness at the level of hyoid, epiglottis and vocal cords, subglottic diameter, ratio of pre-epiglottic space to anterior, posterior and midpoint of anterior and posterior vocal folds. RESULTS Several significant differences were observed between pregnant and non-pregnant females, with additional changes in pre-eclamptic females. These included clinical parameters such as the modified Mallampati score and sonographic measurements of tongue width, tongue volume, subglottic diameter, anterior neck soft tissue thickness at the level of hyoid, epiglottis and vocal cords, and the ratio of pre-epiglottic space to anterior, posterior and midpoint of anterior and posterior vocal folds. CONCLUSION Routinely used clinical methods of airway assessment lack sensitivity and specificity. Ultrasound can visualise anatomical structures in the supraglottic and subglottic views and is encouraging as an airway assessment tool.
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Affiliation(s)
- R Bala
- Department of Anesthesia, Pt. B.D. Sharma PGIMS, Rohtak, Haryana 124001, India
| | - D Budhwar
- Department of Anesthesia, Pt. B.D. Sharma PGIMS, Rohtak, Haryana 124001, India
| | - V Kumar
- Department of Anesthesia, Pt. B.D. Sharma PGIMS, Rohtak, Haryana 124001, India.
| | - S Singhal
- Department of Obstetrics and Gynaecology, Pt. B.D. Sharma PGIMS, Rohtak, Haryana 124001, India
| | - P Kaushik
- Department of Radiology, PT. B.D. Sharma PGIMS, Rohtak, Haryana 124001, India
| | - J Sharma
- Department of Anesthesia, AIIMS Bhatinda, Punjab 151001, India
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Berge GT, Granmo OC, Tveit TO, Munkvold BE, Ruthjersen AL, Sharma J. Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Med Inform Decis Mak 2023; 23:5. [PMID: 36627624 PMCID: PMC9832658 DOI: 10.1186/s12911-023-02101-x] [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: 06/22/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important decision support tasks. While obtaining accurate, medical domain interpretable results is crucial, it is demanding because real-world EHRs contain many inconsistencies and inaccuracies. Further, testing of such machine learning-based systems in clinical practice has received limited attention and are yet to be accepted by clinicians for regular use. METHODS We present our results from the evaluation of an NLP-driven CDSS developed and implemented in a Norwegian Hospital. The system incorporates unsupervised and supervised machine learning combined with rule-based algorithms for clinical concept-based searching to identify and classify allergies of concern for anesthesia and intensive care. The system also implements a semi-supervised machine learning approach to automatically annotate medical concepts in the narrative. RESULTS Evaluation of system adoption was performed by a mixed methods approach applying The Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical lens. Most of the respondents demonstrated a high degree of system acceptance and expressed a positive attitude towards the system in general and intention to use the system in the future. Increased detection of patient allergies, and thus improved quality of practice and patient safety during surgery or ICU stays, was perceived as the most important advantage of the system. CONCLUSIONS Our combined machine learning and rule-based approach benefits system performance, efficiency, and interpretability. The results demonstrate that the proposed CDSS increases detection of patient allergies, and that the system received high-level acceptance by the clinicians using it. Useful recommendations for further system improvements and implementation initiatives are reducing the quantity of alarms, expansion of the system to include more clinical concepts, closer EHR system integration, and more workstations available at point of care.
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Affiliation(s)
- G. T. Berge
- grid.23048.3d0000 0004 0417 6230Department of Information Systems, University of Agder, Kristiansand, Norway ,grid.417290.90000 0004 0627 3712Department of Technology and eHealth, Sørlandet Hospital Trust, Kristiansand, Norway
| | - O. C. Granmo
- grid.23048.3d0000 0004 0417 6230Department of ICT, University of Agder, Grimstad, Norway
| | - T. O. Tveit
- grid.417290.90000 0004 0627 3712Department of Technology and eHealth, Sørlandet Hospital Trust, Kristiansand, Norway ,grid.417290.90000 0004 0627 3712Department of Anaesthesia and Intensive Care, Sørlandet Hospital Trust, Kristiansand, Norway ,grid.417290.90000 0004 0627 3712Research Department, Sørlandet Hospital Trust, Kristiansand, Norway
| | - B. E. Munkvold
- grid.23048.3d0000 0004 0417 6230Department of Information Systems, University of Agder, Kristiansand, Norway
| | - A. L. Ruthjersen
- grid.417290.90000 0004 0627 3712Department of Technology and eHealth, Sørlandet Hospital Trust, Kristiansand, Norway
| | - J. Sharma
- grid.417290.90000 0004 0627 3712Department of Technology and eHealth, Sørlandet Hospital Trust, Kristiansand, Norway ,grid.23048.3d0000 0004 0417 6230Department of ICT, University of Agder, Grimstad, Norway
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Sharma J, Tripathy BB. An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection. TQM 2023. [DOI: 10.1108/tqm-09-2022-0295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PurposeSupplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).Design/methodology/approachThe proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.FindingsA fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.Originality/valueQFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.
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Mansoor H, Hirani N, Chavan V, Das M, Sharma J, Bharati M, Oswal V, Iyer A, Morales M, Joshi A, Ferlazzo G, Isaakidis P, Ndlovu Z, England K. Clinical utility of target-based next-generation sequencing for drug-resistant TB. Int J Tuberc Lung Dis 2023; 27:41-48. [PMID: 36853141 PMCID: PMC9879084 DOI: 10.5588/ijtld.22.0138] [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] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND: In high TB burden countries, access to drug susceptibility testing is a major bottleneck. Targeted next-generation sequencing (tNGS) is a promising technology for rapid resistance detection. This study assessed the role of tNGS for the diagnosis of drug-resistant TB (DR-TB).METHODS: A total of 161 samples from bacteriologically confirmed TB cases were subjected to tNGS using the Deeplex® Myc-TB kit and sequenced using the MiSeq platform. These samples were also processed for conventional phenotypic DST (pDST) using 13 drugs on Mycobacteria Growth Indicator Tube and line-probe assays (MTBDRplus and MTBDRsl).RESULTS: There were 146 DR-TB and 15 drug-susceptible TB (DS-TB) samples. About 70% of patients with DR-TB had no previous TB treatment history. Overall, 88.2% had rifampicin-resistant/multidrug-resistant TB (RR/MDR-TB), 58.5% pre-extensively drug-resistant TB (pre-XDR-TB) and 9.2% had XDR-TB as defined by the WHO (2020). Around 8% (n = 13) of samples were non-culturable; however, identified 8 were resistant to first and second-line drugs using tNGS. Resistance frequency was similar across methods, with discordance in drugs less reliable using pDST or with limited mutational representation within databases. Sensitivities were aligned with literature reports for most drugs. We observed 10% heteroresistance, while 75% of strains were of Lineages 2 and 3.CONCLUSIONS: Programme data supported tNGS in the diagnosis of DR-TB for early treatment using individualised regimens.
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Affiliation(s)
| | - N. Hirani
- Grant Medical College, Sir Jamshedjee Jeejebhoy Group of Hospitals, Mumbai, India
| | - V. Chavan
- Médecins Sans Frontières, Mumbai, India
| | - M. Das
- Médecins Sans Frontières, Mumbai, India
| | - J. Sharma
- Médecins Sans Frontières, Mumbai, India
| | | | - V. Oswal
- National TB Elimination Programme, Mumbai, India
| | - A. Iyer
- Médecins Sans Frontières, Mumbai, India
| | | | - A. Joshi
- Grant Medical College, Sir Jamshedjee Jeejebhoy Group of Hospitals, Mumbai, India
| | - G. Ferlazzo
- Southern Africa Medical Unit, Médecins Sans Frontières, Cape Town, South Africa
| | - P. Isaakidis
- Southern Africa Medical Unit, Médecins Sans Frontières, Cape Town, South Africa
,Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Z. Ndlovu
- Southern Africa Medical Unit, Médecins Sans Frontières, Cape Town, South Africa
,Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - K. England
- Independent Consultant, Infectious Disease Microbiologist, Honolulu, Hawaii, USA
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12
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Schwamm LH, Kamel H, Granger CB, Piccini JP, Katz JM, Sethi PP, Sidorov EV, Kasner SE, Silverman SB, Merriam TT, Franco N, Ziegler PD, Bernstein RA, Abi-Samra F, Acosta I, Al Balushi A, Al-Awwad A, Alimohammad R, Alkahalifah M, Allred J, Alsorogi M, Arias V, Aroor S, Arora R, Asdaghi N, Asi K, Assar M, Badhwar N, Banchs J, Bansal S, Barrett C, Beaver B, Beldner S, Belt G, Bernabei M, Bernard M, Bhatt N, Black J, Bledsoe D, Bonaguidi H, Bonyak K, Boyd C, Cajavilca C, Caprio F, Carter J, Chancellor B, Chang C, Chaudhary G, Chaudhary S, Cheung P, Ching M, Chinitz L, Chiu D, Chokhawala H, Choudhuri I, Choudry S, Clayton S, Cross J, Cucchiara B, Culpepper A, Daniels J, Dash S, Del Brutto V, Deline C, Delpirou Nouh C, Deo R, Dhamoon M, Dillon G, Donsky A, Doshi A, Downey A, Dukkipati S, Epstein L, Etherton M, Fara M, Fayad PB, Felberg R, Flaster M, Frankel D, Furer S, Gadhia R, Gadient P, Garabelli P, Gibson D, Glotzer T, Goltz D, Gordon D, Graner S, Graybeal D, Grimes MR, Guerrero W, Hanna J, Hao Q, Hasabnis S, Hasan R, Heist EK, Horowitz D, Hourihane JM, Hussein H, Ishida K, Ismail H, Jadonath R, Jamal S, Jamnadas P, Jia J, Johnson M, Jung R, Kalafut M, Kalia J, Kandel A, Kasner S, Katz L, Katz J, Kaur G, Kearney M, Khatib S, Kim S, Kim C, Kipta J, Koch S, Koruth J, Kreger H, Krueger K, Kurian C, LaFranchise E, Lambrakos L, Langan MN, Lee R, Libman R, Lillemoe K, Logan W, Lord A, Lubitz S, Luciano J, Lynch J, Maccaro PC, Magadan A, Magun R, Malik M, Malik A, Manda S, Marulanda-Londono E, Matos Diaz I, Mattera B, McCall-Brown A, Mcclelland N, Meisel K, Memon Z, Mendelson S, Mendoza I, Merriam T, Messe S, Miles WM, Miller M, Mir O, Mitrani R, Morin D, Morris K, Moussavi M, Mowla A, Moye S, Mullen M, Mullins S, Neisen K, Nguyen C, Niazi I, Olson N, Olsovsky G, Ortiz G, Ostrander M, Pakala A, Parker B, Parker M, Passman R, Patel A, Patel A, Pickett RA(D, Polin G, Radoslovich G, Ramano J, Rami T, Ramirez D, Rasmussen J, Ray B, Reddy V, Reddy R, Reeves R, Regenhardt R, Rempe D, Rogers P, Rogers J, Rowe S, Rowley C, Ruff I, Sackett M, Sajjad R, Salem R, Saltzman M, Santangeli P, Saucedo S, Sawyer R, Schaller R, Seeger S, Sethi P, Shang T, Sharma J, Sharma R, Sheinart K, Shukla G, Shultz J, Sidorov E, Silverman S, Simonson J, Singh D, Skalabrin E, Sloane K, Smith M, Smith W, Soik D, Stavrakis S, Stein L, Steinberg JS, Sur N, Switzer D, Talpur N, Tansy A, Tempro K, Thavapalan V, Thomas A, Thomas K, Torres J, Torres L, Tuhrim S, Uddin P, Vidal G, Viswanathan A, Volpi J, Ward K, Weinberger J, Whang W, Wilder M, Willner J, Wright P, Yuan Q, Zhang C, Zhu D, Zide K, Zimmerman J, Zweifler R. Predictors of Atrial Fibrillation in Patients With Stroke Attributed to Large- or Small-Vessel Disease: A Prespecified Secondary Analysis of the STROKE AF Randomized Clinical Trial. JAMA Neurol 2023; 80:99-103. [PMID: 36374508 PMCID: PMC9664367 DOI: 10.1001/jamaneurol.2022.4038] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Importance The Stroke of Known Cause and Underlying Atrial Fibrillation (STROKE AF) trial found that approximately 1 in 8 patients with recent ischemic stroke attributed to large- or small-vessel disease had poststroke atrial fibrillation (AF) detected by an insertable cardiac monitor (ICM) at 12 months. Identifying predictors of AF could be useful when considering an ICM in routine poststroke clinical care. Objective To determine the association between commonly assessed risk factors and poststroke detection of new AF in the STROKE AF cohort monitored by ICM. Design, Setting, and Participants This was a prespecified analysis of a randomized (1:1) clinical trial that enrolled patients between April 1, 2016, and July 12, 2019, with primary follow-up through 2020 and mean (SD) duration of 11.0 (3.0) months. Eligible patients were selected from 33 clinical research sites in the US. Patients had an index stroke attributed to large- or small-vessel disease and were 60 years or older or aged 50 to 59 years with at least 1 additional stroke risk factor. A total of 496 patients were enrolled, and 492 were randomly assigned to study groups (3 did not meet inclusion criteria, and 1 withdrew consent). Patients in the ICM group had the index stroke within 10 days before insertion. Data were analyzed from October 8, 2021, to January 28, 2022. Interventions ICM monitoring vs site-specific usual care (short-duration external cardiac monitoring). Main Outcomes and Measures The ICM device automatically detects AF episodes 2 or more minutes in length; episodes were adjudicated by an expert committee. Cox regression multivariable modeling included all parameters identified in the univariate analysis having P values <.10. AF detection rates were calculated using Kaplan-Meier survival estimates. Results The analysis included the 242 participants randomly assigned to the ICM group in the STROKE AF study. Among 242 patients monitored with ICM, 27 developed AF (mean [SD] age, 66.6 [9.3] years; 144 men [60.0%]; 96 [40.0%] women). Two patients had missing baseline data and exited the study early. Univariate predictors of AF detection included age (per 1-year increments: hazard ratio [HR], 1.05; 95% CI, 1.01-1.09; P = .02), CHA2DS2-VASc score (per point: HR, 1.54; 95% CI, 1.15-2.06; P = .004), chronic obstructive pulmonary disease (HR, 2.49; 95% CI, 0.86-7.20; P = .09), congestive heart failure (CHF; with preserved or reduced ejection fraction: HR, 6.64; 95% CI, 2.29-19.24; P < .001), left atrial enlargement (LAE; HR, 3.63; 95% CI, 1.55-8.47; P = .003), QRS duration (HR, 1.02; 95% CI, 1.00-1.04; P = .04), and kidney dysfunction (HR, 3.58; 95% CI, 1.35-9.46; P = .01). In multivariable modeling (n = 197), only CHF (HR, 5.06; 95% CI, 1.45-17.64; P = .05) and LAE (HR, 3.32; 1.34-8.19; P = .009) remained significant predictors of AF. At 12 months, patients with CHF and/or LAE (40 of 142 patients) had an AF detection rate of 23.4% vs 5.0% for patients with neither (HR, 5.1; 95% CI, 2.0-12.8; P < .001). Conclusions and Relevance Among patients with ischemic stroke attributed to large- or small-vessel disease, CHF and LAE were associated with a significantly increased risk of poststroke AF detection. These patients may benefit most from the use of ICMs as part of a secondary stroke prevention strategy. However, the study was not powered for clinical predictors of AF, and therefore, other clinical characteristics may not have reached statistical significance. Trial Registration ClinicalTrials.gov Identifier: NCT02700945.
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Affiliation(s)
- Lee H. Schwamm
- Department of Neurology, Massachusetts General Hospital, Boston
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medicine, New York, New York,Deputy Editor, JAMA Neurology
| | - Christopher B. Granger
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jonathan P. Piccini
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jeffrey M. Katz
- Department of Neurology and Radiology, North Shore University Hospital, Manhasset, New York
| | - Pramod P. Sethi
- Guilford Neurology Associates, Moses H. Cone Hospital, Greensboro, North Carolina
| | - Evgeny V. Sidorov
- Department of Neurology, The University of Oklahoma Health Sciences Center, Oklahoma City
| | - Scott E. Kasner
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | | | - Noreli Franco
- Clinical Department, Medtronic, Minneapolis, Minnesota
| | | | - Richard A. Bernstein
- Davee Department of Neurology, Feinberg School of Medicine of Northwestern University, Chicago, Illinois
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Kothiya PK, Gupta V, Sarawagi R, Jayashankar E, Sharma J, Wani H, Balaji K, Roshny J. Isolated primary hydatid cyst of the pancreas: Management challenges of a cystic masquerade. Ann Hepatobiliary Pancreat Surg 2022; 26:401-406. [PMID: 35995585 PMCID: PMC9721249 DOI: 10.14701/ahbps.22-031] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 12/15/2022] Open
Abstract
Abdominal hydatid cyst disease mostly involves the liver. Involvement of the pancreas as an isolated primary organ is rare accounting for < 2% of all systemic echinococcosis cases. It mostly involves the head of the pancreas. Symptoms depend on the location, size, and associated complications; therefore, it can have varied presentations including acute pancreatitis. On imaging, it can mimic other common pancreatic cystic lesions like pseudocyst or cystic neoplasm. Accurate preoperative diagnosis is usually difficult and requires a very high index of suspicion even in endemic areas. Herein, a case of primary isolated hydatid cyst of the pancreas that was initially diagnosed and managed as acute pancreatic pseudocyst is reported.
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Affiliation(s)
- Pradeep Kumar Kothiya
- Department of Surgical Gastroenterology, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
| | - Vishal Gupta
- Department of Surgical Gastroenterology, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India,Corresponding author: Vishal Gupta, MS, MCh Department of Surgical Gastroenterology, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh 462020, India Tel: +917552834086, E-mail: ORCID: https://orcid.org/0000-0003-3574-1805
| | - Radha Sarawagi
- Department of Radiodiagnosis, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
| | - Erukkambattu Jayashankar
- Departments of Pathology and Laboratory Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
| | - Jitendra Sharma
- Department of Radiodiagnosis, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
| | - Hamza Wani
- Department of Surgical Gastroenterology, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
| | - Karunagaran Balaji
- Departments of Pathology and Laboratory Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
| | - J. Roshny
- Departments of Pathology and Laboratory Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, Madhya Pradesh, India
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Bali V, Khajuria Y, Sharma J, Rai PK, Gondal MA, Kumar U, Singh VK. Compositional and Morphological Studies of Kidney and Gallbladder Stones from Fundamentals to Advanced Level using SEM–EDS Technique: A Short Review. Arab J Sci Eng 2022. [DOI: 10.1007/s13369-022-07324-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Jangid MK, Sharma J, Chanchlani R, Malik R, Ahmad R. Delayed complication due to retained contrast following augmented pressure distal loop colostogram in anorectal malformation. Afr J Paediatr Surg 2022; 19:265-267. [PMID: 36018212 PMCID: PMC9615961 DOI: 10.4103/ajps.ajps_107_21] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Augmented-pressure distal loop colostogram (APDC) is the most important diagnostic investigation to delineate the detailed anatomy to plan the reparative management of anorectal malformations. APDC is generally considered safe, with a very low complication rate. Herein, we present an unreported complication of APDC, manifesting as acute abdomen, due to retained contrast in distal loop. The patient was managed with evacuation of retained contrast from distal loop. We recommend evacuating the contrast from the distal loop following APDC.
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Affiliation(s)
- Mahendra Kumar Jangid
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Jitendra Sharma
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Roshan Chanchlani
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Rajesh Malik
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Reyaz Ahmad
- Department of Pediatric Surgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
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Vormstein-Schneider D, Lin JD, Pelkey KA, Chittajallu R, Guo B, Arias-Garcia MA, Allaway K, Sakopoulos S, Schneider G, Stevenson O, Vergara J, Sharma J, Zhang Q, Franken TP, Smith J, Ibrahim LA, Mastro KJ, Sabri E, Huang S, Favuzzi E, Burbridge T, Xu Q, Guo L, Vogel I, Sanchez V, Saldi GA, Gorissen BL, Yuan X, Zaghloul KA, Devinsky O, Sabatini BL, Batista-Brito R, Reynolds J, Feng G, Fu Z, McBain CJ, Fishell G, Dimidschstein J. Publisher Correction: Viral manipulation of functionally distinct interneurons in mice, non-human primates and humans. Nat Neurosci 2022; 25:1247. [PMID: 35945454 DOI: 10.1038/s41593-022-01155-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | - Jessica D Lin
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kenneth A Pelkey
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Ramesh Chittajallu
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Baolin Guo
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Mario A Arias-Garcia
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kathryn Allaway
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- NYU Langone Medical Center, New York University, New York, NY, USA
| | - Sofia Sakopoulos
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Gates Schneider
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Olivia Stevenson
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Josselyn Vergara
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jitendra Sharma
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Qiangge Zhang
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tom P Franken
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Jared Smith
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Leena A Ibrahim
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Kevin J Mastro
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Ehsan Sabri
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Shuhan Huang
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Emilia Favuzzi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Timothy Burbridge
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Qing Xu
- Center for Genomics & Systems Biology, New York University, Abu Dhabi, UAE
| | - Lihua Guo
- Center for Genomics & Systems Biology, New York University, Abu Dhabi, UAE
| | - Ian Vogel
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Vanessa Sanchez
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Giuseppe A Saldi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Bram L Gorissen
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Xiaoqing Yuan
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Kareem A Zaghloul
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Orrin Devinsky
- Comprehensive Epilepsy Center, New York University School of Medicine, New York, NY, USA
| | - Bernardo L Sabatini
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | | | - John Reynolds
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Guoping Feng
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Zhanyan Fu
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Chris J McBain
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Gord Fishell
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Jordane Dimidschstein
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
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Siesener N, Sharma J, Saunders N, Loya M, Kocharyan H, Lilly M, Kokabi N, Majdalany B, Newsome J, Bercu Z. Abstract No. 396 Cosyntropin stimulation and its effects on adrenal vein sampling: results from a large-volume single institution experience. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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18
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Keerthan RM, Nagaseshu P, Gopalan G, Kachroo K, Sharma J. A systematic review, meta-analysis and economic evaluation on Neonatal cpap. Computational and Mathematical Biophysics 2022. [DOI: 10.1515/cmb-2022-0133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
The review mainly focuses on the goals to evaluate the clinical and cost effectiveness of neonatal CPAP in a decrease of Mortality, Length of Stay, Respiratory support, Extubation and Intubation. Introduction: Inclusion criteria: This review is conducted in neonates with respiratory failure, Pneumonia sepsis, necrotizing infections, Pneumothorax, Broncho pulmonary distress, respiratory distress syndrome (RDS), COVID-19, and other comorbidities also included.
Methods: The databases like PubMed, Google Scholar, and Cochrane were used in this review. Depending on inclusion criteria the full-text articles were assessed and chosen studies were recovered by methodological quality.
Results: one twenty-six studies are retrieved which met the inclusion criteria and the extracted studies were pooled statistically and their outcomes were measured. All the studies explain the efficacy of CPAP by reducing Mortality, Length of Stay, Respiratory support, Extubation and Intubation.
Conclusion: Currently the evidence states that CPAP reduces Mortality, Length of Stay, Respiratory support, Extubation and Intubation
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Affiliation(s)
- RM. Keerthan
- Kalam Institute of Health Technology, Andhra Pradesh MedTech Zone , Visakhapatnam , India
| | - Pudi Nagaseshu
- Kalam Institute of Health Technology, Andhra Pradesh MedTech Zone , Visakhapatnam , India
| | - Greeshma Gopalan
- Kalam Institute of Health Technology, Andhra Pradesh MedTech Zone , Visakhapatnam , India
| | - Kavita Kachroo
- Kalam Institute of Health Technology, Andhra Pradesh MedTech Zone , Visakhapatnam , India
| | - Jitendra Sharma
- Kalam Institute of Health Technology, Andhra Pradesh MedTech Zone , Visakhapatnam , India
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19
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Milham M, Petkov C, Belin P, Ben Hamed S, Evrard H, Fair D, Fox A, Froudist-Walsh S, Hayashi T, Kastner S, Klink C, Majka P, Mars R, Messinger A, Poirier C, Schroeder C, Shmuel A, Silva AC, Vanduffel W, Van Essen DC, Wang Z, Roe AW, Wilke M, Xu T, Aarabi MH, Adolphs R, Ahuja A, Alvand A, Amiez C, Autio J, Azadi R, Baeg E, Bai R, Bao P, Basso M, Behel AK, Bennett Y, Bernhardt B, Biswal B, Boopathy S, Boretius S, Borra E, Boshra R, Buffalo E, Cao L, Cavanaugh J, Celine A, Chavez G, Chen LM, Chen X, Cheng L, Chouinard-Decorte F, Clavagnier S, Cléry J, Colcombe SJ, Conway B, Cordeau M, Coulon O, Cui Y, Dadarwal R, Dahnke R, Desrochers T, Deying L, Dougherty K, Doyle H, Drzewiecki CM, Duyck M, Arachchi WE, Elorette C, Essamlali A, Evans A, Fajardo A, Figueroa H, Franco A, Freches G, Frey S, Friedrich P, Fujimoto A, Fukunaga M, Gacoin M, Gallardo G, Gao L, Gao Y, Garside D, Garza-Villarreal EA, Gaudet-Trafit M, Gerbella M, Giavasis S, Glen D, Ribeiro Gomes AR, Torrecilla SG, Gozzi A, Gulli R, Haber S, Hadj-Bouziane F, Fujimoto SH, Hawrylycz M, He Q, He Y, Heuer K, Hiba B, Hoffstaedter F, Hong SJ, Hori Y, Hou Y, Howard A, de la Iglesia-Vaya M, Ikeda T, Jankovic-Rapan L, Jaramillo J, Jedema HP, Jin H, Jiang M, Jung B, Kagan I, Kahn I, Kiar G, Kikuchi Y, Kilavik B, Kimura N, Klatzmann U, Kwok SC, Lai HY, Lamberton F, Lehman J, Li P, Li X, Li X, Liang Z, Liston C, Little R, Liu C, Liu N, Liu X, Liu X, Lu H, Loh KK, Madan C, Magrou L, Margulies D, Mathilda F, Mejia S, Meng Y, Menon R, Meunier D, Mitchell A, Mitchell A, Murphy A, Mvula T, Ortiz-Rios M, Ortuzar Martinez DE, Pagani M, Palomero-Gallagher N, Pareek V, Perkins P, Ponce F, Postans M, Pouget P, Qian M, Ramirez J“B, Raven E, Restrepo I, Rima S, Rockland K, Rodriguez NY, Roger E, Hortelano ER, Rosa M, Rossi A, Rudebeck P, Russ B, Sakai T, Saleem KS, Sallet J, Sawiak S, Schaeffer D, Schwiedrzik CM, Seidlitz J, Sein J, Sharma J, Shen K, Sheng WA, Shi NS, Shim WM, Simone L, Sirmpilatze N, Sivan V, Song X, Tanenbaum A, Tasserie J, Taylor P, Tian X, Toro R, Trambaiolli L, Upright N, Vezoli J, Vickery S, Villalon J, Wang X, Wang Y, Weiss AR, Wilson C, Wong TY, Woo CW, Wu B, Xiao D, Xu AG, Xu D, Xufeng Z, Yacoub E, Ye N, Ying Z, Yokoyama C, Yu X, Yue S, Yuheng L, Yumeng X, Zaldivar D, Zhang S, Zhao Y, Zuo Z. Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging. Neuron 2022; 110:16-20. [PMID: 34731649 DOI: 10.1016/j.neuron.2021.10.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/30/2021] [Accepted: 10/11/2021] [Indexed: 12/22/2022]
Abstract
Open science initiatives are creating opportunities to increase research coordination and impact in nonhuman primate (NHP) imaging. The PRIMatE Data and Resource Exchange community recently developed a collaboration-based strategic plan to advance NHP imaging as an integrative approach for multiscale neuroscience.
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Singh S, Dutta S, Khasbage S, Kumar T, Sachin J, Sharma J, Varthya SB. A systematic review and meta-analysis of efficacy and safety of Romosozumab in postmenopausal osteoporosis. Osteoporos Int 2022; 33:1-12. [PMID: 34432115 PMCID: PMC9003152 DOI: 10.1007/s00198-021-06095-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [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: 05/03/2021] [Accepted: 08/08/2021] [Indexed: 11/29/2022]
Abstract
The study was conducted to illustrate the effect of Romosozumab in postmenopausal osteoporosis patients. Romosozumab decreased the incidence of vertebral, nonvertebral, and clinical fractures significantly. In addition, decreased incidence of falls and increased bone mineral density at lumbar spine, total hip, and femoral neck was observed. Romosozumab is a monoclonal antibody that acts against the sclerostin pathway leading to enhanced bone formation and reduced bone resorption in patients with osteoporosis. Electronic search was performed on Medline (via PubMed), The Cochrane Central Register of Controlled Trials, and clinicaltrials.gov, till May 2020, for RCTs evaluating the effectiveness of Romosozumab in postmenopausal osteoporosis. RCTs evaluating the effect of Romosozumab on fractures and bone mineral density in postmenopausal osteoporosis patients. Meta-analysis was performed by Cochrane review manager 5 (RevMan) version 5.3. Cochrane risk of bias 2.0 tool and GRADE pro-GDT were applied for methodological quality and overall evidence quality, respectively. One hundred seventy-nine studies were screened, and 10 eligible studies were included in the analysis, with a total of 6137 patients in romosozumab group and 5732 patients in control group. Romosozumab significantly reduced the incidence of vertebral fractures [OR = 0.43 (95%CI = 0.35-0.52), High-quality evidence], nonvertebral fractures [OR = 0.78 (95%CI = 0.66-0.92), High quality], and clinical fractures [OR = 0.70 (95%CI = 0.60-0.82), High quality] at 24 months. Significant reduction in incidence risk of falls [OR = 0.87 (95%CI = 0.78-0.96), High quality] was observed with romosozumab. Bone mineral density was significantly increased in the romosozumab treated groups at lumbar spine [MD = 12.66 (95%CI = 12.66-12.67), High quality], total hip [MD = 5.69 (95%CI = 5.68 - 5.69), Moderate quality], and femoral neck [MD = 5.18 (95%CI = 5.18-5.19), Moderate quality] at 12 months. The total adverse events [RR = 0.98(95%CI = 0.96-1.01), Moderate quality] and serious adverse events [RR = 0.98(95%CI = 0.88-1.08), Moderate quality] with romosozumab were comparable to the control group. The current analysis with evidence on efficacy and safety of Romosozumab, authors opine to recommend the use of Romosozumab treatment for post-menopausal osteoporosis.Systematic review registration: PROSPERO registration number: CRD42019112196.
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Affiliation(s)
- S Singh
- Department of Pharmacology, All India Institute of Medical Sciences, Rajasthan, 342005, Jodhpur, India
| | - S Dutta
- Department of Pharmacology, All India Institute of Medical Sciences, Rajasthan, 342005, Jodhpur, India.
| | - S Khasbage
- Department of Pharmacology, All India Institute of Medical Sciences, Bhopal, India
| | - T Kumar
- Department of Pharmacology, All India Institute of Medical Sciences, Rajasthan, 342005, Jodhpur, India
| | - J Sachin
- Department of Pharmacology, All India Institute of Medical Sciences, Rajasthan, 342005, Jodhpur, India
| | - J Sharma
- Department of Pharmacology, All India Institute of Medical Sciences, Rajasthan, 342005, Jodhpur, India
| | - S B Varthya
- Department of Pharmacology, All India Institute of Medical Sciences, Rajasthan, 342005, Jodhpur, India
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21
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Desai M, Sharma J, Slusarczyk AL, Chapin AA, Ohlendorf R, Wisniowska A, Sur M, Jasanoff A. Hemodynamic molecular imaging of tumor-associated enzyme activity in the living brain. eLife 2021; 10:e70237. [PMID: 34931988 PMCID: PMC8691830 DOI: 10.7554/elife.70237] [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: 05/11/2021] [Accepted: 12/08/2021] [Indexed: 11/29/2022] Open
Abstract
Molecular imaging could have great utility for detecting, classifying, and guiding treatment of brain disorders, but existing probes offer limited capability for assessing relevant physiological parameters. Here, we describe a potent approach for noninvasive mapping of cancer-associated enzyme activity using a molecular sensor that acts on the vasculature, providing a diagnostic readout via local changes in hemodynamic image contrast. The sensor is targeted at the fibroblast activation protein (FAP), an extracellular dipeptidase and clinically relevant biomarker of brain tumor biology. Optimal FAP sensor variants were identified by screening a series of prototypes for responsiveness in a cell-based bioassay. The best variant was then applied for quantitative neuroimaging of FAP activity in rats, where it reveals nanomolar-scale FAP expression by xenografted cells. The activated probe also induces robust hemodynamic contrast in nonhuman primate brain. This work thus demonstrates a potentially translatable strategy for ultrasensitive functional imaging of molecular targets in neuromedicine.
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Affiliation(s)
- Mitul Desai
- Department of Biological Engineering, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Jitendra Sharma
- Department of Brain & Cognitive Sciences, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Adrian L Slusarczyk
- Department of Biological Engineering, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Ashley A Chapin
- Department of Biological Engineering, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Robert Ohlendorf
- Department of Biological Engineering, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Agata Wisniowska
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Mriganka Sur
- Department of Brain & Cognitive Sciences, Massachusetts Institute of TechnologyCambridgeUnited States
| | - Alan Jasanoff
- Department of Biological Engineering, Massachusetts Institute of TechnologyCambridgeUnited States
- Department of Brain & Cognitive Sciences, Massachusetts Institute of TechnologyCambridgeUnited States
- Department of Nuclear Science & Engineering, Massachusetts Institute of TechnologyCambridgeUnited States
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22
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Beaulieu-Laroche L, Brown NJ, Hansen M, Toloza EHS, Sharma J, Williams ZM, Frosch MP, Cosgrove GR, Cash SS, Harnett MT. Allometric rules for mammalian cortical layer 5 neuron biophysics. Nature 2021; 600:274-278. [PMID: 34759318 DOI: 10.1038/s41586-021-04072-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 09/29/2021] [Indexed: 11/09/2022]
Abstract
The biophysical properties of neurons are the foundation for computation in the brain. Neuronal size is a key determinant of single neuron input-output features and varies substantially across species1-3. However, it is unknown whether different species adapt neuronal properties to conserve how single neurons process information4-7. Here we characterize layer 5 cortical pyramidal neurons across 10 mammalian species to identify the allometric relationships that govern how neuronal biophysics change with cell size. In 9 of the 10 species, we observe conserved rules that control the conductance of voltage-gated potassium and HCN channels. Species with larger neurons, and therefore a decreased surface-to-volume ratio, exhibit higher membrane ionic conductances. This relationship produces a conserved conductance per unit brain volume. These size-dependent rules result in large but predictable changes in somatic and dendritic integrative properties. Human neurons do not follow these allometric relationships, exhibiting much lower voltage-gated potassium and HCN conductances. Together, our results in layer 5 neurons identify conserved evolutionary principles for neuronal biophysics in mammals as well as notable features of the human cortex.
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Affiliation(s)
- Lou Beaulieu-Laroche
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Norma J Brown
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marissa Hansen
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Enrique H S Toloza
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jitendra Sharma
- Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.,Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ziv M Williams
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew P Frosch
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Sydney S Cash
- Department of Neurology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
| | - Mark T Harnett
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
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23
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Bedwell D, Sharma J, Du M, Wong E, Mutyam V, Li Y, Chen J, Wangen J, Thrasher K, Fu L, Peng N, Tang L, Liu K, Mathew B, Bostwick B, Augelli-Szafran C, Bihler H, Liang F, Mahiou J, Saltz J, Rab A, Hong J, Sorscher E, Mendenhall E, Coppola C, Keeling K, Green R, Mense M, Suto M, Rowe S. 531: Identification of a compound that mediates readthrough of CFTR nonsense mutations by reducing eRF1 levels. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)01955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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24
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Zhang-Velten E, Sharma J, Wang X, Ma J, Chen J, Schiattarella G, Gillette T, Hill J, Park J, Malloy C, Zaha V, Alluri P. Early In Vivo Detection of Radiation-Induced Cardiotoxicity With Hyperpolarized C-13 Pyruvate Magnetic Resonance Spectroscopy. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Abstract
Mycetoma is a chronic granulomatous disease that is more common in tropical regions with predominant involvement of foot. Spinal mycetoma presenting as lumbar canal stenosis is extremely rare. We hereby present a case of fungal eumycetoma of vertebral column in a 42-year-old male who presented with chronic progressive low back pain and features of lumbar canal stenosis without any skin swelling or discharging sinuses. The “dot-in-circle” sign, a highly specific magnetic resonance imaging (MRI) and ultrasonography (USG) sign of mycetoma has been described in the literature as a pathognomonic feature of mycetoma involving the musculoskeletal system. We describe the importance of characteristic imaging features with dot in circle sign in the diagnosis of eumycetoma of lumbar spine.
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Affiliation(s)
- Radha Sarawagi
- Department of Radio Diagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Jitendra Sharma
- Department of Radio Diagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Rajesh Malik
- Department of Radio Diagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Aman Kumar
- Department of Radio Diagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
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Akhtar S, Perez M, Sharma J, Canazza A, Zaiac M. 432 Calcipotriene 0.005%/betamethasone dipropionate 0.064% foam as a treatment for nail psoriasis: A case series. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Ahuja S, Sharma J, Gupta S, Bakhshi S, Seth R, Singh A, Bagai P, Arora RS. Patient tracking during treatment of children with cancer in India - An exploratory study. Cancer Rep (Hoboken) 2021; 5:e1359. [PMID: 33624448 PMCID: PMC9199505 DOI: 10.1002/cnr2.1359] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 12/08/2020] [Revised: 01/18/2021] [Accepted: 02/03/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Abandonment of treatment, a major cause of treatment failure in low- and middle-income countries like India, is particularly high during the diagnostic and initial phase of treatment. Tracking of patients during this risk period may reduce treatment abandonment rates and increase quality of care. AIM The primary aim was to pilot the use and check the acceptability of a tool for tracking children with cancer in New Delhi during the initial part of their treatment. Secondary aim was to estimate abandonment rates among these patients. METHODS This prospective study was carried out in two centers of North India in New Delhi and enrolled children less than 18 years diagnosed with cancer at these centers and who had registered with Cankids for social support. Parent support group (PSG) workers maintained contact with the child's family at least once a week for the first 12 weeks. Details of each contact and subsequent action were recorded in a customized book (called "You are not alone" or YANA Book). Descriptive analysis of these contacts was done in Microsoft Excel and presented in frequencies and percentages. The five-point Likert scale was used to check the acceptability of the tool among the PSG workers. RESULTS Seven PSG workers enrolled and tracked 81 patients (73% male with a median age of 6 years). During the 12-week study period, 986 contacts were attempted and three (3.7%) patients had abandoned their treatment. All PSG workers strongly agreed that the YANA book was simple to understand and use, decreased their workload, and helped provide better assistance to patients. CONCLUSION The tool for patient tracking was well accepted by the PSG workers and considered easy to use. We now plan to implement our model as a routine service at all the partnering hospitals in India.
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Affiliation(s)
- S Ahuja
- Quality Care Research and Impact, Cankids, New Delhi, India
| | - J Sharma
- Quality Care Research and Impact, Cankids, New Delhi, India
| | - S Gupta
- Division of Haematology/Oncology, Hospital for Sick Children, Toronto, Canada
| | - S Bakhshi
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - R Seth
- Department of Paediatrics, Division of Paediatric Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - A Singh
- Department of Paediatrics, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - P Bagai
- Quality Care Research and Impact, Cankids, New Delhi, India
| | - R S Arora
- Quality Care Research and Impact, Cankids, New Delhi, India.,Max Super-Speciality Hospital, Medical Oncology, New Delhi, India
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Kumar H, Azad A, Gupta A, Sharma J, Bherwani H, Labhsetwar NK, Kumar R. COVID-19 Creating another problem? Sustainable solution for PPE disposal through LCA approach. Environ Dev Sustain 2021; 23:9418-9432. [PMID: 33071605 PMCID: PMC7546389 DOI: 10.1007/s10668-020-01033-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 09/30/2020] [Indexed: 05/18/2023]
Abstract
Amid COVID-19, there have been rampant increase in the use of Personal Protective Equipment (PPE) kits by frontline health and sanitation communities, to reduce the likelihoods of infections. The used PPE kits, potentially being infectious, pose a threat to human health, terrestrial, and marine ecosystems, if not scientifically handled and disposed. However, with stressed resources on treatment facilities and lack of training to the health and sanitation workers, it becomes vital to vet different options for PPE kits disposal, to promote environmentally sound management of waste. Given the various technology options available for treatment and disposal of COVID-19 patients waste, Life Cycle Assessment, i.e., cradle to grave analysis of PPE provides essential guidance in identifying the environmentally sound alternatives. In the present work, Life Cycle Assessment of PPE kits has been performed using GaBi version 8.7 under two disposal scenarios, namely landfill and incineration (both centralized and decentralized) for six environmental impact categories covering overall impacts on both terrestrial and marine ecosystems, which includes Global Warming Potential (GWP), Human Toxicity Potential (HTP), Eutrophication Potential (EP), Acidification Potential (AP), Freshwater Aquatic Ecotoxicity Potential (FAETP) and Photochemical Ozone Depletion Potential (POCP). Considering the inventories of PPE kits, disposal of PPE bodysuit has the maximum impact, followed by gloves and goggles, in terms of GWP. The use of metal strips in face-mask has shown the most significant HTP impact. The incineration process (centralized-3816 kg CO2 eq. and decentralized-3813 kg CO2 eq.) showed high GWP but significantly reduced impact w.r.t. AP, EP, FAETP, POCP and HTP, when compared to disposal in a landfill, resulting in the high overall impact of landfill disposal compared to incineration. The decentralized incineration has emerged as environmentally sound management option compared to centralized incinerator among all the impact categories, also the environmental impact by transportation is significant (2.76 kg CO2 eq.) and cannot be neglected for long-distance transportation. Present findings can help the regulatory authority to delineate action steps for safe disposal of PPE kits.
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Affiliation(s)
- Harender Kumar
- CSIR-National Environmental Engineering Research Institute, CSIR-NEERI, Nagpur, Maharashtra 440 020 India
| | - Amaanuddin Azad
- CSIR-National Environmental Engineering Research Institute, CSIR-NEERI, Nagpur, Maharashtra 440 020 India
| | - Ankit Gupta
- CSIR-National Environmental Engineering Research Institute, CSIR-NEERI, Nagpur, Maharashtra 440 020 India
- Academy of Scientific and Innovative Research [AcSIR], Ghaziabad, Uttar Pradesh 201 002 India
| | - Jitendra Sharma
- United Nations Environment Programme, New Delhi, 110 003 India
| | - Hemant Bherwani
- CSIR-National Environmental Engineering Research Institute, CSIR-NEERI, Nagpur, Maharashtra 440 020 India
- Academy of Scientific and Innovative Research [AcSIR], Ghaziabad, Uttar Pradesh 201 002 India
| | - Nitin Kumar Labhsetwar
- CSIR-National Environmental Engineering Research Institute, CSIR-NEERI, Nagpur, Maharashtra 440 020 India
- Academy of Scientific and Innovative Research [AcSIR], Ghaziabad, Uttar Pradesh 201 002 India
| | - Rakesh Kumar
- CSIR-National Environmental Engineering Research Institute, CSIR-NEERI, Nagpur, Maharashtra 440 020 India
- Academy of Scientific and Innovative Research [AcSIR], Ghaziabad, Uttar Pradesh 201 002 India
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Parab PD, Khandeparker RD, Shenoy BD, Sharma J. Phylogenetic Diversity of Culturable Marine Bacteria from Mangrove Sediments of Goa, India: a Potential Source of Xylanases Belonging to Glycosyl Hydrolase Family 10. APPL BIOCHEM MICRO+ 2020. [DOI: 10.1134/s0003683820060137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Abstract
PurposeThe purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs) as well as to factor in the values numerically to enhance the prioritization process for an improved, comprehensive quality function deployment (QFD) analysis. The aim is to develop the concept of assimilating and factoring in the often-ignored interrelationships among CRs and ECs utilizing the weighted average method for the CR and EC correlations with overall calculations.Design/methodology/approachAfter a brief literature review of the methods utilized, the research paper discusses the framework for the correlation triangle challenge and introduces a novel mathematical solution utilizing triangle values in conjunction with computed initial raw weights for CRs and initial priority scores for ECs. The capability and applicability of the proposed model are demonstrated with a real-life example.FindingsThrough the proposed technique, the roof and the interrelationship triangle's signs and symbols are translated into numerical values for each permutation of ECs and CRs, and then the prioritization values are processed and finalized. The proposed model successfully modifies and removes vagueness from an otherwise overlooked part of the QFD process.Practical implicationsThe illustrated case study aptly proves that the proposed methodology yields more revealing and informative outcomes for engineers and designers, thus adding much-needed reliability to the outcome and its analysis. The validation conducted through the rank comparison endorses the premise, and the results obtained reflect the strength and accuracy of the progressive QFD as a product planning tool.Originality/valueThe research article proposes a fresh and unique QFD approach that solves typical procedural complications encountered in a regular QFD. Whereas the traditional methods neglect the interrelationships among CRs and ECs, this new methodology employs them in an improved, numerical way by incorporating them in quantitative analysis, which leads to judicious and improved decision-making.
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Vormstein-Schneider D, Lin JD, Pelkey KA, Chittajallu R, Guo B, Arias-Garcia MA, Allaway K, Sakopoulos S, Schneider G, Stevenson O, Vergara J, Sharma J, Zhang Q, Franken TP, Smith J, Ibrahim LA, M Astro KJ, Sabri E, Huang S, Favuzzi E, Burbridge T, Xu Q, Guo L, Vogel I, Sanchez V, Saldi GA, Gorissen BL, Yuan X, Zaghloul KA, Devinsky O, Sabatini BL, Batista-Brito R, Reynolds J, Feng G, Fu Z, McBain CJ, Fishell G, Dimidschstein J. Viral manipulation of functionally distinct interneurons in mice, non-human primates and humans. Nat Neurosci 2020; 23:1629-1636. [PMID: 32807948 DOI: 10.1038/s41593-020-0692-9] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 07/10/2020] [Indexed: 12/21/2022]
Abstract
Recent success in identifying gene-regulatory elements in the context of recombinant adeno-associated virus vectors has enabled cell-type-restricted gene expression. However, within the cerebral cortex these tools are largely limited to broad classes of neurons. To overcome this limitation, we developed a strategy that led to the identification of multiple new enhancers to target functionally distinct neuronal subtypes. By investigating the regulatory landscape of the disease gene Scn1a, we discovered enhancers selective for parvalbumin (PV) and vasoactive intestinal peptide-expressing interneurons. Demonstrating the functional utility of these elements, we show that the PV-specific enhancer allowed for the selective targeting and manipulation of these neurons across vertebrate species, including humans. Finally, we demonstrate that our selection method is generalizable and characterizes additional PV-specific enhancers with exquisite specificity within distinct brain regions. Altogether, these viral tools can be used for cell-type-specific circuit manipulation and hold considerable promise for use in therapeutic interventions.
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Affiliation(s)
| | - Jessica D Lin
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kenneth A Pelkey
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Ramesh Chittajallu
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Baolin Guo
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Mario A Arias-Garcia
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kathryn Allaway
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA.,NYU Langone Medical Center, New York University, New York, NY, USA
| | - Sofia Sakopoulos
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Gates Schneider
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Olivia Stevenson
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Josselyn Vergara
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jitendra Sharma
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Qiangge Zhang
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tom P Franken
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Jared Smith
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Leena A Ibrahim
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Kevin J M Astro
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Ehsan Sabri
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Shuhan Huang
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Emilia Favuzzi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Timothy Burbridge
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Qing Xu
- Center for Genomics & Systems Biology, New York University, Abu Dhabi, UAE
| | - Lihua Guo
- Center for Genomics & Systems Biology, New York University, Abu Dhabi, UAE
| | - Ian Vogel
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Vanessa Sanchez
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Giuseppe A Saldi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Bram L Gorissen
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Xiaoqing Yuan
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Kareem A Zaghloul
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Orrin Devinsky
- Comprehensive Epilepsy Center, New York University School of Medicine, New York, NY, USA
| | - Bernardo L Sabatini
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | | | - John Reynolds
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Guoping Feng
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Zhanyan Fu
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Chris J McBain
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Gord Fishell
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Jordane Dimidschstein
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
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Chowdhury AR, Saxena M, Kumar A, Joshi SR, Amitabh ., Dagar A, Mittal M, Kirkire S, Desai J, Shah D, Karelia JC, Kumar A, Jha K, Das P, Bhagat HV, Sharma J, Ghonia DN, Desai M, Bansal G, Gupta A. Orbiter High Resolution Camera onboard Chandrayaan-2 Orbiter. CURR SCI INDIA 2020. [DOI: 10.18520/cs/v118/i4/560-565] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Chowdhury AR, Patel VD, Joshi SR, Arya AS, Kumar A, Paul S, Shah D, Soni P, Karelia JC, Sampat M, Sharma S, Somani S, Bhagat HV, Sharma J, Amitabh ., Suresh K, Rajasekhar RP, Bokarwadia BB, Kumar M, Ghonia DN. Terrain Mapping Camera-2 onboard Chandrayaan-2 Orbiter. CURR SCI INDIA 2020. [DOI: 10.18520/cs/v118/i4/566-572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Chowdhury AR, Banerjee A, Joshi SR, Dutta M, Kumar A, Bhattacharya S, Amitabh ., Rehman SU, Bhati S, Karelia JC, Biswas A, Saxena AR, Sharma S, Somani SR, Bhagat HV, Sharma J, Ghonia DN, Bokarwadia BB, Parasar A. Imaging Infrared Spectrometer onboard Chandrayaan-2 Orbiter. CURR SCI INDIA 2020. [DOI: 10.18520/cs/v118/i3/368-375] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Talley JD, Fleming RD, Sharma J. Abstract WP464: The Pull Technique: A Solution to Stroke Intervention Transfers. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.wp464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose:
This stroke center has neuro-interventional capabilities and is part of a five hospital network surrounding a metropolitan area. As the center that offers mechanical thrombectomy, patients are received for this procedure from the other hospitals in the network in addition to other outside facilities. The time to transfer these patients was taking too long, sometimes hours, and a way to shorten that time was needed to improve patient outcomes.
Methods:
The stroke team decided to use the Code Stroke nurse to facilitate this process. A process was put into place in which the receiving facility pulls the patient in rather than waiting for the sending facility to push the patient out. The Code Stroke nurse, once learning of the acceptance of the patient by the interventionalist, proactively calls the sending facility to get report, instructs that facility to call EMS for transfer, and records an estimated time of arrival (ETA) for the patient. This information is then disseminated to the rest of the stroke team to prepare for the patient’s arrival.
Results:
Before implementation of this process, the average time to receive these transfers was approximately 120 minutes. After the Pull Technique was implemented, the average time of transfer is 40 minutes. This is a reduction of 67% of time to transfer.
Conclusion:
Decreasing the time of transfer can significantly impact the outcome for these patients. This process has shown a lot of promise and is continuing to be evaluated. Not only has the time of transfer decreased, the sending facilities are happier because some of the burden of facilitating the transfer is taken by the receiving facility, and the receiving facility is even more prepared to receive the patient leading to decreased door-to-device (DTD) times.
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Chaurasia RN, Sharma J, Pathak A, Mishra VN, Joshi D. Poststroke Cognitive Decline: A Longitudinal Study from a Tertiary Care Center. J Neurosci Rural Pract 2019; 10:459-464. [PMID: 31595118 PMCID: PMC6779556 DOI: 10.1055/s-0039-1697872] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [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: 12/16/2022] Open
Abstract
Objectives Poststroke cognitive decline (PSCD) is a serious disabling consequence of stroke. The purpose of this study is to find the prevalence of PSCD and sociodemographic and clinical determinants of risk factors of PSCD. Materials and Methods This study was a prospective, hospital-based study conducted on 200 stroke patients from stroke registry during October 2015 to April 2017. Detailed clinical evaluation was done. Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were used to determine PSCD after 3 and 6 months as per the Diagnostic and Statistical Manual of Mental Disorders V . Chi-squared test was used to find the association between two variables. The Wilcoxon signed-rank test was used to compare the difference in cognitive impairment between two follow-ups at 3 and 6 months, respectively. A p-value < 0.05 was considered statistically significant. Results The prevalence of PSCD measured by MoCA scale at 3 and 6 months was 67 and 31.6%, respectively. By MMSE scale, cognitive decline prevalence at 3 months was found to be 87 (46.3%), which reduced to 22 (17.1%) at 6 months. The association between MMSE scale and type of stroke was significant at 3 months. Conclusion One-third of the stroke patients developed PSCD within 3 months of onset of stroke, with different levels of severity. The major predictors of new-onset poststroke cognitive impairment were diabetes and hypertension. The prevalence of PSCD reduced significantly at 6 months of stroke on follow-up.
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Affiliation(s)
- Rameshwar Nath Chaurasia
- Department of Neurology, Institute of Medical Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Jitendra Sharma
- Department of Neurology, Institute of Medical Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Abhishek Pathak
- Department of Neurology, Institute of Medical Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Vijay Nath Mishra
- Department of Neurology, Institute of Medical Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Deepika Joshi
- Department of Neurology, Institute of Medical Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
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Sen N, Tanwar S, Jain A, Sharma J, Gokhroo RK, Mehta A, Kalra B. P6293Assessment of testosterone/estradiol ratio, DHEA-S level and correlation with coronary inflammatory markers IL-1 & 6, TNF-1 and hsCRP predict 5 years risk of cardiovascular disease in men. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Previous data showed the adrenal sex hormone dehydroepiandrosterone (DHEA) which is present in serum mainly as the sulfate DHEA-S is the most abundant steroid hormone and another hormones like testosterone, estradiol are related to cardiovascular risk in men. Literatures revealed vascular and metabolic actions of DHEA/-S, evidence for an association between DHEA/-S levels and cardiovascular events is controversy.
Objectives
Our aim is to review and clear the contradictory point regarding cardiovascular risk and correlation of testeosterone/ estradiol ratio, DHEA-S level with coronary inflammatory markers in men.
Methods
Large population based cohort study done at multi centre of cardiology from 2013- 2018 in India. We enrolled total 23631 normal healthy male population age between 40 to 60 years and divided into two groups based on testosterone/estradiol ratio (Group A (n=2450) lower value of T/E ratio and Group B (n=21181) normal or higher T/E ratio. We did cohort analysis for 5 years and evaluated DHEA-S level and correlated it with coronary inflammatory markers and cardiovascular risk.
Results
In group A (low T/E ratio) we found low level of DHEA-S (98% of individual) and higher value of interleukins IL-1 (68%),IL-6 (74%) and tumor necrosis factor TNF-1 (71%) and high sensitive C-reactive protein (hsCRP) (73% of individual). Data revealed two fold increase of high blood pressure and LDL cholesterol level as compared to group B (normal or high T/E ratio and normal or high value of DHEA-S). 2.5 fold higher rate of coronary heart disease (CHD) found in group A versus in group B. We did not found as much significant difference in stroke, carotid and peripheral artery disease. T/E ratio and DHEA-S levels were inversely associated with the age-adjusted risk of a CHD event; the hazard ratios and 95% confidence intervals per standard deviation (SD) increase were 0.76 (0.66 to 0.91) and 0.82 (0.72 to 0.93), respectively.
Conclusions
Decrease ratio of testosterone/estradiol levels correlate decreased levels of DHEA-S which may increase the risk of CHD in men. For future aspect, correction of T/E ratio, DHEA-S and increase its awareness should be at mass level for prevention of CHD.
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Affiliation(s)
- N Sen
- HG SMS Hospital, Jaipur, India
| | | | - A Jain
- Narayana Hrudayalaya, Cardiology, Jaipur, India
| | | | - R K Gokhroo
- J L N Medical College, Cardiology, Ajmer, India
| | - A Mehta
- Kokilaben Dhirubhai Ambani Hospital, Mumbai, India
| | - B Kalra
- Artemis Hospital, Cardiology, gurgaon, India
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Sharma J, Srivastava P, Bhatia R, Rajan R, Singh R, Goyal V, Singh M, Garg A, Vishnu V. ‘Prehospital’ delay in acute stroke reperfusion therapy in Delhi: Time for introspection. J Neurol Sci 2019. [DOI: 10.1016/j.jns.2019.10.687] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Kamath N, Iyengar A, V Reddy H, Uthup S, Sharma J, Singhal J, Ekambaram S, Shroff R. SAT-271 DETERMINING THE OPTIMAL DOSE OF CHOLECALCIFEROL SUPPLEMENTATION IN CHILDREN WITH CHRONIC KIDNEY DISEASE (C3 TRIAL) - AN OPEN LABEL MULTICENTRE RANDOMIZED CONTROLLED TRIAL. Kidney Int Rep 2019. [DOI: 10.1016/j.ekir.2019.05.308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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NATOLI T, Sharma J, Modur V, Hariri A. SAT-112 CLINICAL TRIAL OF VENGLUSTAT, A GLUCOSYLCERAMIDE SYNTHASE (GCS) INHIBITOR, IS SUPPORTED BY PRECLINICAL AND PHASE 1 STUDY DATA. Kidney Int Rep 2019. [DOI: 10.1016/j.ekir.2019.05.140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Zhou Y, Sharma J, Ke Q, Landman R, Yuan J, Chen H, Hayden DS, Fisher JW, Jiang M, Menegas W, Aida T, Yan T, Zou Y, Xu D, Parmar S, Hyman JB, Fanucci-Kiss A, Meisner O, Wang D, Huang Y, Li Y, Bai Y, Ji W, Lai X, Li W, Huang L, Lu Z, Wang L, Anteraper SA, Sur M, Zhou H, Xiang AP, Desimone R, Feng G, Yang S. Atypical behaviour and connectivity in SHANK3-mutant macaques. Nature 2019; 570:326-331. [DOI: 10.1038/s41586-019-1278-0] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Accepted: 05/13/2019] [Indexed: 01/09/2023]
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Crous P, Carnegie A, Wingfield M, Sharma R, Mughini G, Noordeloos M, Santini A, Shouche Y, Bezerra J, Dima B, Guarnaccia V, Imrefi I, Jurjević Ž, Knapp D, Kovács G, Magistà D, Perrone G, Rämä T, Rebriev Y, Shivas R, Singh S, Souza-Motta C, Thangavel R, Adhapure N, Alexandrova A, Alfenas A, Alfenas R, Alvarado P, Alves A, Andrade D, Andrade J, Barbosa R, Barili A, Barnes C, Baseia I, Bellanger JM, Berlanas C, Bessette A, Bessette A, Biketova A, Bomfim F, Brandrud T, Bransgrove K, Brito A, Cano-Lira J, Cantillo T, Cavalcanti A, Cheewangkoon R, Chikowski R, Conforto C, Cordeiro T, Craine J, Cruz R, Damm U, de Oliveira R, de Souza J, de Souza H, Dearnaley J, Dimitrov R, Dovana F, Erhard A, Esteve-Raventós F, Félix C, Ferisin G, Fernandes R, Ferreira R, Ferro L, Figueiredo C, Frank J, Freire K, García D, Gené J, Gêsiorska A, Gibertoni T, Gondra R, Gouliamova D, Gramaje D, Guard F, Gusmão L, Haitook S, Hirooka Y, Houbraken J, Hubka V, Inamdar A, Iturriaga T, Iturrieta-González I, Jadan M, Jiang N, Justo A, Kachalkin A, Kapitonov V, Karadelev M, Karakehian J, Kasuya T, Kautmanová I, Kruse J, Kušan I, Kuznetsova T, Landell M, Larsson KH, Lee H, Lima D, Lira C, Machado A, Madrid H, Magalhães O, Majerova H, Malysheva E, Mapperson R, Marbach P, Martín M, Martín-Sanz A, Matočec N, McTaggart A, Mello J, Melo R, Mešić A, Michereff S, Miller A, Minoshima A, Molinero-Ruiz L, Morozova O, Mosoh D, Nabe M, Naik R, Nara K, Nascimento S, Neves R, Olariaga I, Oliveira R, Oliveira T, Ono T, Ordoñez M, Ottoni ADM, Paiva L, Pancorbo F, Pant B, Pawłowska J, Peterson S, Raudabaugh D, Rodríguez-Andrade E, Rubio E, Rusevska K, Santiago A, Santos A, Santos C, Sazanova N, Shah S, Sharma J, Silva B, Siquier J, Sonawane M, Stchigel A, Svetasheva T, Tamakeaw N, Telleria M, Tiago P, Tian C, Tkalčec Z, Tomashevskaya M, Truong H, Vecherskii M, Visagie C, Vizzini A, Yilmaz N, Zmitrovich I, Zvyagina E, Boekhout T, Kehlet T, Læssøe T, Groenewald J. Fungal Planet description sheets: 868-950. Persoonia 2019; 42:291-473. [PMID: 31551622 PMCID: PMC6712538 DOI: 10.3767/persoonia.2019.42.11] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 05/10/2019] [Indexed: 12/11/2022]
Abstract
Novel species of fungi described in this study include those from various countries as follows: Australia, Chaetomella pseudocircinoseta and Coniella pseudodiospyri on Eucalyptus microcorys leaves, Cladophialophora eucalypti, Teratosphaeria dunnii and Vermiculariopsiella dunnii on Eucalyptus dunnii leaves, Cylindrium grande and Hypsotheca eucalyptorum on Eucalyptus grandis leaves, Elsinoe salignae on Eucalyptus saligna leaves, Marasmius lebeliae on litter of regenerating subtropical rainforest, Phialoseptomonium eucalypti (incl. Phialoseptomonium gen. nov.) on Eucalyptus grandis × camaldulensis leaves, Phlogicylindrium pawpawense on Eucalyptus tereticornis leaves, Phyllosticta longicauda as an endophyte from healthy Eustrephus latifolius leaves, Pseudosydowia eucalyptorum on Eucalyptus sp. leaves, Saitozyma wallum on Banksia aemula leaves, Teratosphaeria henryi on Corymbia henryi leaves. Brazil, Aspergillus bezerrae, Backusella azygospora, Mariannaea terricola and Talaromyces pernambucoensis from soil, Calonectria matogrossensis on Eucalyptus urophylla leaves, Calvatia brasiliensis on soil, Carcinomyces nordestinensis on Bromelia antiacantha leaves, Dendryphiella stromaticola on small branches of an unidentified plant, Nigrospora brasiliensis on Nopalea cochenillifera leaves, Penicillium alagoense as a leaf endophyte on a Miconia sp., Podosordaria nigrobrunnea on dung, Spegazzinia bromeliacearum as a leaf endophyte on Tilandsia catimbauensis, Xylobolus brasiliensis on decaying wood. Bulgaria, Kazachstania molopis from the gut of the beetle Molops piceus. Croatia, Mollisia endocrystallina from a fallen decorticated Picea abies tree trunk. Ecuador, Hygrocybe rodomaculata on soil. Hungary, Alfoldia vorosii (incl. Alfoldia gen. nov.) from Juniperus communis roots, Kiskunsagia ubrizsyi (incl. Kiskunsagia gen. nov.) from Fumana procumbens roots. India, Aureobasidium tremulum as laboratory contaminant, Leucosporidium himalayensis and Naganishia indica from windblown dust on glaciers. Italy, Neodevriesia cycadicola on Cycas sp. leaves, Pseudocercospora pseudomyrticola on Myrtus communis leaves, Ramularia pistaciae on Pistacia lentiscus leaves, Neognomoniopsis quercina (incl. Neognomoniopsis gen. nov.) on Quercus ilex leaves. Japan, Diaporthe fructicola on Passiflora edulis × P. edulis f. flavicarpa fruit, Entoloma nipponicum on leaf litter in a mixed Cryptomeria japonica and Acer spp. forest. Macedonia, Astraeus macedonicus on soil. Malaysia, Fusicladium eucalyptigenum on Eucalyptus sp. twigs, Neoacrodontiella eucalypti (incl. Neoacrodontiella gen. nov.) on Eucalyptus urophylla leaves. Mozambique, Meliola gorongosensis on dead Philenoptera violacea leaflets. Nepal, Coniochaeta dendrobiicola from Dendriobium lognicornu roots. New Zealand, Neodevriesia sexualis and Thozetella neonivea on Archontophoenix cunninghamiana leaves. Norway, Calophoma sandfjordenica from a piece of board on a rocky shoreline, Clavaria parvispora on soil, Didymella finnmarkica from a piece of Pinus sylvestris driftwood. Poland, Sugiyamaella trypani from soil. Portugal, Colletotrichum feijoicola from Acca sellowiana. Russia, Crepidotus tobolensis on Populus tremula debris, Entoloma ekaterinae, Entoloma erhardii and Suillus gastroflavus on soil, Nakazawaea ambrosiae from the galleries of Ips typographus under the bark of Picea abies. Slovenia, Pluteus ludwigii on twigs of broadleaved trees. South Africa, Anungitiomyces stellenboschiensis (incl. Anungitiomyces gen. nov.) and Niesslia stellenboschiana on Eucalyptus sp. leaves, Beltraniella pseudoportoricensis on Podocarpus falcatus leaf litter, Corynespora encephalarti on Encephalartos sp. leaves, Cytospora pavettae on Pavetta revoluta leaves, Helminthosporium erythrinicola on Erythrina humeana leaves, Helminthosporium syzygii on a Syzygium sp. bark canker, Libertasomyces aloeticus on Aloe sp. leaves, Penicillium lunae from Musa sp. fruit, Phyllosticta lauridiae on Lauridia tetragona leaves, Pseudotruncatella bolusanthi (incl. Pseudotruncatellaceae fam. nov.) and Dactylella bolusanthi on Bolusanthus speciosus leaves. Spain, Apenidiella foetida on submerged plant debris, Inocybe grammatoides on Quercus ilex subsp. ilex forest humus, Ossicaulis salomii on soil, Phialemonium guarroi from soil. Thailand, Pantospora chromolaenae on Chromolaena odorata leaves. Ukraine, Cadophora helianthi from Helianthus annuus stems. USA, Boletus pseudopinophilus on soil under slash pine, Botryotrichum foricae, Penicillium americanum and Penicillium minnesotense from air. Vietnam, Lycoperdon vietnamense on soil. Morphological and culture characteristics are supported by DNA barcodes.
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Affiliation(s)
- P.W. Crous
- Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Hatfield 0028, Pretoria, South Africa
| | - A.J. Carnegie
- Forest Health & Biosecurity, NSW Department of Primary Industries, Forestry, Level 12, 10 Valentine Ave, Parramatta NSW 2150, Australia
| | - M.J. Wingfield
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Hatfield 0028, Pretoria, South Africa
| | - R. Sharma
- National Centre for Microbial Resource (NCMR), National Centre for Cell Science, S.P. Pune University, Ganeshkhind, Pune 411 007, Maharashtra, India
| | - G. Mughini
- Research Center for Forestry and Wood - C.R.E.A., Via Valle della Quistione 27, 00166 Rome, Italy
| | - M.E. Noordeloos
- Naturalis Biodiversity Center, section Botany, P.O. Box 9517, 2300 RA Leiden, The Netherlands
| | - A. Santini
- Institute for Sustainable Plant Protection - C.N.R., Via Madonna del Piano 10, 50019 Sesto fiorentino (FI), Italy
| | - Y.S. Shouche
- National Centre for Microbial Resource (NCMR), National Centre for Cell Science, S.P. Pune University, Ganeshkhind, Pune 411 007, Maharashtra, India
| | - J.D.P. Bezerra
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - B. Dima
- Department of Plant Anatomy, Institute of Biology, Eötvös Loránd University, 1117 Budapest, Pázmány Péter sétány 1/C, Hungary
| | - V. Guarnaccia
- DiSAFA, University of Torino, Largo Paolo Braccini, 2, 10095 Grugliasco, TO, Italy
| | - I. Imrefi
- Department of Plant Anatomy, Institute of Biology, Eötvös Loránd University, 1117 Budapest, Pázmány Péter sétány 1/C, Hungary
| | - Ž. Jurjević
- EMSL Analytical, Inc., 200 Route 130 North, Cinnaminson, NJ 08077, USA
| | - D.G. Knapp
- Department of Plant Anatomy, Institute of Biology, Eötvös Loránd University, 1117 Budapest, Pázmány Péter sétány 1/C, Hungary
| | - G.M. Kovács
- Department of Plant Anatomy, Institute of Biology, Eötvös Loránd University, 1117 Budapest, Pázmány Péter sétány 1/C, Hungary
| | - D. Magistà
- Institute of Sciences of Food Production, CNR, Via Amendola 122/O, 70126 Bari, Italy
| | - G. Perrone
- Institute of Sciences of Food Production, CNR, Via Amendola 122/O, 70126 Bari, Italy
| | - T. Rämä
- Marbio, Norwegian College of Fishery Science, University of Tromsø - The Arctic University of Norway
| | - Y.A. Rebriev
- South Scientific Center of the Russian Academy of Sciences, Rostov-on-Don, Russia
| | - R.G. Shivas
- Centre for Crop Health, University of Southern Queensland, Toowoomba 4350, Australia
| | - S.M. Singh
- National Centre for Antarctic and Ocean Research, Headland Sada, Vasco-da-Gama-403 804, Goa, India
- Banaras Hindu University (BHU), Uttar Pradesh, India
| | - C.M. Souza-Motta
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - R. Thangavel
- Plant Health and Environment Laboratory, Ministry for Primary Industries, P.O. Box 2095, Auckland 1140, New Zealand
| | - N.N. Adhapure
- Department of Biotechnology and Microbiology, Vivekanand Arts, Sardar Dalipsingh Commerce and Science College, Aurangabad 431001, Maharashtra, India
| | - A.V. Alexandrova
- Lomonosov Moscow State University (MSU), Faculty of Biology, 119234, 1, 12 Leninskie Gory Str., Moscow, Russia
- Joint Russian-Vietnamese Tropical Research and Technological Center, Hanoi, Vietnam
| | - A.C. Alfenas
- Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa, Brazil
| | - R.F. Alfenas
- Departamento de Engenharia Florestal, Universidade Federal de Mato Grosso, Cuiabá, Brazil
| | - P. Alvarado
- ALVALAB, Avda. de Bruselas 2-3B, 33011 Oviedo, Spain
| | - A.L. Alves
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - D.A. Andrade
- Instituto de Ciências Biológicas e da Saúde – ICBS, Universidade Federal de Alagoas, Maceió, Brazil
| | - J.P. Andrade
- Universidade Estadual de Feira de Santana, Av. Transnordestina, S/N – Novo Horizonte, 44036-900 Feira de Santana, BA, Brazil
| | - R.N. Barbosa
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - A. Barili
- Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Av. 12 de octubre 1076 y Roca, Quito, Ecuador
| | - C.W. Barnes
- Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Av. 12 de octubre 1076 y Roca, Quito, Ecuador
| | - I.G. Baseia
- Departamento Botânica e Zoologia, Centro de Biociências, Universidade Federal do Rio Grande do Norte, Campus Universitário, 59072-970, Natal, RN, Brazil
| | - J.-M. Bellanger
- CEFE – CNRS – Université de Montpellier – Université Paul-Valéry Montpellier – EPHE – IRD – INSERM, Campus CNRS, 1919 Route de Mende, 34293 Montpellier, France
| | - C. Berlanas
- Instituto de Ciencias de la Vid y del Vino (Gobierno de La Rioja-CSIC-Universidad de La Rioja), Ctra. LO-20, Salida 13, 26007 Logroño, La Rioja, Spain
| | | | | | - A.Yu. Biketova
- Synthetic and Systems Biology Unit, Biological Research Centre, Hungarian Academy of Sciences, H-6726 Szeged, Hungary
| | - F.S. Bomfim
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - T.E. Brandrud
- Norwegian Institute for Nature Research, Gaustadalléen 21, NO-0349 Oslo, Norway
| | - K. Bransgrove
- Plant Pathology Herbarium, Department of Agriculture and Fisheries, Dutton Park 4102, Queensland, Australia
| | - A.C.Q. Brito
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - J.F. Cano-Lira
- Mycology Unit, Medical School and IISPV, Universitat Rovira i Virgili (URV), Sant Llorenç 21, 43201 Reus, Tarragona, Spain
| | - T. Cantillo
- Departamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Av. Transnordestina, S/N – Novo Horizonte, 44036-900 Feira de Santana, BA, Brazil
| | - A.D. Cavalcanti
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - R. Cheewangkoon
- Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand
| | - R.S. Chikowski
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - C. Conforto
- Instituto de Patología Vegetal, Instituto Nacional de Tecnología Agropecuaria, Córdoba, Argentina
| | - T.R.L. Cordeiro
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - J.D. Craine
- 5320 N. Peachtree Road, Dunwoody, GA 30338, USA
| | - R. Cruz
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - U. Damm
- Senckenberg Museum of Natural History Görlitz, PF 300 154, 02806 Görlitz, Germany
| | - R.J.V. de Oliveira
- Comissão Executiva do Plano da Lavoura Cacaueira (CEPLAC)/CEPEC, Itabuna, Bahia, Brazil
| | | | - H.G. de Souza
- Recôncavo da Bahia Federal University, Bahia, Brazil
| | - J.D.W. Dearnaley
- Centre for Crop Health, University of Southern Queensland, Toowoomba 4350, Australia
| | - R.A. Dimitrov
- National Center of Infectious and Parasitic Diseases, 26 Yanko Sakazov blvd, Sofia 1504, Bulgaria
| | - F. Dovana
- Department of Life Sciences and Systems Biology, University of Turin, Viale P.A. Mattioli 25, 10125, Torino, Italy
| | - A. Erhard
- EMSL Analytical, Inc., 200 Route 130 North, Cinnaminson, NJ 08077, USA
| | - F. Esteve-Raventós
- Departamento de Ciencias de la Vida (Area de Botánica), Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain
| | - C.R. Félix
- Instituto de Ciências Biológicas e da Saúde – ICBS, Universidade Federal de Alagoas, Maceió, Brazil
| | - G. Ferisin
- Via A. Vespucci 7, 1537, 33052 Cervignano del Friuli (UD), Italy
| | - R.A. Fernandes
- Departamento de Fitopatologia, Universidade Federal de Brasilia, Brasilia, Brazil
| | - R.J. Ferreira
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - L.O. Ferro
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | | | - J.L. Frank
- Department of Biology, Southern Oregon University, Ashland OR 97520, USA
| | - K.T.L.S. Freire
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - D. García
- Mycology Unit, Medical School and IISPV, Universitat Rovira i Virgili (URV), Sant Llorenç 21, 43201 Reus, Tarragona, Spain
| | - J. Gené
- Mycology Unit, Medical School and IISPV, Universitat Rovira i Virgili (URV), Sant Llorenç 21, 43201 Reus, Tarragona, Spain
| | - A. Gêsiorska
- Department of Molecular Phylogenetics and Evolution, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, ul. Zwirki i Wigury 101, 02-089 Warsaw, Poland
| | - T.B. Gibertoni
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - R.A.G. Gondra
- University Utrecht, P.O. Box 80125, 3508 TC Utrecht, The Netherlands
| | - D.E. Gouliamova
- The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 26 Acad. Georgi Bonchev, Sofia 1113, Bulgaria
| | - D. Gramaje
- Instituto de Ciencias de la Vid y del Vino (Gobierno de La Rioja-CSIC-Universidad de La Rioja), Ctra. LO-20, Salida 13, 26007 Logroño, La Rioja, Spain
| | | | - L.F.P. Gusmão
- Departamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Av. Transnordestina, S/N – Novo Horizonte, 44036-900 Feira de Santana, BA, Brazil
| | - S. Haitook
- Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Y. Hirooka
- Department of Clinical Plant Science, Faculty of Bioscience, Hosei University, 3-7-2 Kajino-cho, Koganei, Tokyo, Japan
| | - J. Houbraken
- Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands
| | - V. Hubka
- Department of Botany, Faculty of Science, Charles University, Benátská 2, 128 01 Prague 2, Czech Republic
- Laboratory of Fungal Genetics and Metabolism, Institute of Microbiology of the CAS, v.v.i, Vídeòská 1083, 142 20 Prague 4, Czech Republic
| | - A. Inamdar
- Department of Biotechnology and Microbiology, Vivekanand Arts, Sardar Dalipsingh Commerce and Science College, Aurangabad 431001, Maharashtra, India
| | - T. Iturriaga
- University of Illinois Urbana-Champaign, Illinois Natural History Survey, 1816 South Oak Street, Champaign, Illinois, 61820, USA
- Plant Pathology Herbarium, 334 Plant Science Building, Cornell University, Ithaca, NY 14853 USA
| | - I. Iturrieta-González
- Mycology Unit, Medical School and IISPV, Universitat Rovira i Virgili (URV), Sant Llorenç 21, 43201 Reus, Tarragona, Spain
| | - M. Jadan
- Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia
| | - N. Jiang
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | - A. Justo
- Department of Biology, Clark University, 950 Main St, Worcester, 01610, MA, USA
| | - A.V. Kachalkin
- Lomonosov Moscow State University, Moscow, Russia
- All-Russian Collection of Microorganisms, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms RAS, Pushchino, Russia
| | - V.I. Kapitonov
- Tobolsk Complex Scientific Station of the Ural Branch of the Russian Academy of Sciences, 626152 Tobolsk, Russia
| | - M. Karadelev
- Institute of Biology, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University, Skopje, Republic of Macedonia
| | - J. Karakehian
- Farlow Herbarium, Harvard University, 22 Divinity Avenue, Cambridge, MA 02138, USA
| | - T. Kasuya
- Department of Biology, Keio University, 4-1-1, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8521, Japan
| | - I. Kautmanová
- Slovak National Museum-Natural History Museum, vjanaskeho nab. 2, P.O. Box 13, 81006 Bratislava, Slovakia
| | - J. Kruse
- Centre for Crop Health, University of Southern Queensland, Toowoomba 4350, Australia
| | - I. Kušan
- Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia
| | - T.A. Kuznetsova
- A.N. Severtsov Institute of Ecology and Evolution RAS, Moscow, Russia
| | - M.F. Landell
- Instituto de Ciências Biológicas e da Saúde – ICBS, Universidade Federal de Alagoas, Maceió, Brazil
| | - K.-H. Larsson
- Natural History Museum, P.O. Box 1172 Blindern 0318, University of Oslo, Norway
| | - H.B. Lee
- Environmental Microbiology Lab, Division of Food Technology, Biotechnology & Agrochemistry, College of Agriculture and Life Sciences, Chonnam National University, Korea
| | - D.X. Lima
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - C.R.S. Lira
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - A.R. Machado
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - H. Madrid
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Camino La Pirámide 5750, Huechuraba, Santiago, Chile
| | - O.M.C. Magalhães
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - H. Majerova
- Faculty of Chemical and Food Technology, Biochemistry and Microbiology Department, Slovak University of Technology, Radlinského 9, 81237 Bratislava, Slovakia
| | - E.F. Malysheva
- Komarov Botanical Institute of the Russian Academy of Sciences, Saint Petersburg, Russia
| | - R.R. Mapperson
- Centre for Crop Health, University of Southern Queensland, Toowoomba 4350, Australia
| | | | - M.P. Martín
- Departamento de Micología, Real Jardín Botánico, RJB-CSIC, Plaza de Murillo 2, 28014 Madrid, Spain
| | - A. Martín-Sanz
- Pioneer Hi-Bred International, Inc., Campus Dupont – Pioneer, Ctra. Sevilla-Cazalla km 4.6, 41309 La Rinconada, Spain
| | - N. Matočec
- Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia
| | - A.R. McTaggart
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia 4069, Australia
| | - J.F. Mello
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - R.F.R. Melo
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - A. Mešić
- Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia
| | - S.J. Michereff
- Centro de Ciências Agrárias e da Biodiversidade, Universidade Federal do Cariri, Ceará, Brazil
| | - A.N. Miller
- University of Illinois Urbana-Champaign, Illinois Natural History Survey, 1816 South Oak Street, Champaign, Illinois, 61820, USA
| | - A. Minoshima
- Department of Clinical Plant Science, Faculty of Bioscience, Hosei University, 3-7-2 Kajino-cho, Koganei, Tokyo, Japan
| | - L. Molinero-Ruiz
- Department of Crop Protection, Institute for Sustainable Agriculture, CSIC, 14004 Córdoba, Spain
| | - O.V. Morozova
- Komarov Botanical Institute of the Russian Academy of Sciences, Saint Petersburg, Russia
| | - D. Mosoh
- National Centre for Microbial Resource (NCMR), National Centre for Cell Science, S.P. Pune University, Ganeshkhind, Pune 411 007, Maharashtra, India
| | - M. Nabe
- 2-2-1, Sakuragaoka-nakamachi, Nishi-ku, Kobe, Hyogo 651-2226, Japan
| | - R. Naik
- National Centre for Antarctic and Ocean Research, Headland Sada, Vasco-da-Gama-403 804, Goa, India
| | - K. Nara
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwanoha, Kashiwa, Chiba 277-8563, Japan
| | - S.S. Nascimento
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - R.P. Neves
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - I. Olariaga
- Biology, Geology and Inorganic Chemistry department, Universidad Rey Juan Carlos, C/ Tulipán s/n, 28933 Móstoles, Madrid, Spain
| | - R.L. Oliveira
- Programa de Pós-Graduação em Sistemática e Evolução, Centro de Biociências, Universidade Federal do Rio Grande do Norte, Av. Senador Salgado Filho, 3000, 59072-970, Natal, RN, Brazil
| | - T.G.L. Oliveira
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - T. Ono
- Ogasawara Subtropical Branch of Tokyo Metropolitan Agriculture and Forestry Research Center, Komagari, Chichijima, Ogasawara, Tokyo, Japan
| | - M.E. Ordoñez
- Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Av. 12 de octubre 1076 y Roca, Quito, Ecuador
| | - A. de M. Ottoni
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - L.M. Paiva
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - F. Pancorbo
- Pintores de El Paular 25, 28740 Rascafría, Madrid, Spain
| | - B. Pant
- Central Department of Botany, Tribhuvan University, Nepal
| | - J. Pawłowska
- Department of Molecular Phylogenetics and Evolution, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, ul. Zwirki i Wigury 101, 02-089 Warsaw, Poland
| | - S.W. Peterson
- Mycotoxin Prevention and Applied Microbiology Research Unit, Agricultural Research Service, U.S. Department of Agriculture, 1815 North University Street, Peoria, IL 61604, USA
| | - D.B. Raudabaugh
- University of Illinois Urbana-Champaign, Illinois Natural History Survey, 1816 South Oak Street, Champaign, Illinois, 61820, USA
| | - E. Rodríguez-Andrade
- Mycology Unit, Medical School and IISPV, Universitat Rovira i Virgili (URV), Sant Llorenç 21, 43201 Reus, Tarragona, Spain
| | - E. Rubio
- C/ José Cueto 3 – 5ºB, 33401 Avilés, Asturias, Spain
| | - K. Rusevska
- Institute of Biology, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University, Skopje, Republic of Macedonia
| | - A.L.C.M.A. Santiago
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - A.C.S. Santos
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - C. Santos
- Departamento de Ciencias Químicas y Recursos Naturales, BIOREN-UFRO, Universidad de La Frontera, Temuco, Chile
| | - N.A. Sazanova
- Institute of Biological Problems of the North, Far East Branch of the Russian Academy of Sciences, Magadan, Russia
| | - S. Shah
- Central Department of Botany, Tribhuvan University, Nepal
| | - J. Sharma
- Department of Plant and Soil Science, Texas Tech. University, USA
| | - B.D.B. Silva
- Universidade Federal da Bahia, Instituto de Biologia, Departamento de Botânica, 40170115 Ondina, Salvador, BA, Brazil
| | - J.L. Siquier
- Carrer Major, 19, E-07300 Inca (Islas Baleares), Spain
| | - M.S. Sonawane
- National Centre for Microbial Resource (NCMR), National Centre for Cell Science, S.P. Pune University, Ganeshkhind, Pune 411 007, Maharashtra, India
| | - A.M. Stchigel
- Mycology Unit, Medical School and IISPV, Universitat Rovira i Virgili (URV), Sant Llorenç 21, 43201 Reus, Tarragona, Spain
| | - T. Svetasheva
- Biology and Technologies of Living Systems Department, Tula State Lev Tolstoy Pedagogical University, 125 Lenin av., 300026 Tula, Russia
| | - N. Tamakeaw
- Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand
| | - M.T. Telleria
- Departamento de Micología, Real Jardín Botánico, RJB-CSIC, Plaza de Murillo 2, 28014 Madrid, Spain
| | - P.V. Tiago
- Departamento de Micologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - C.M. Tian
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China
| | - Z. Tkalčec
- Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia
| | - M.A. Tomashevskaya
- All-Russian Collection of Microorganisms, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms RAS, Pushchino, Russia
| | - H.H. Truong
- Department of Clinical Plant Science, Faculty of Bioscience, Hosei University, 3-7-2 Kajino-cho, Koganei, Tokyo, Japan
| | - M.V. Vecherskii
- A.N. Severtsov Institute of Ecology and Evolution RAS, Moscow, Russia
| | - C.M. Visagie
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Hatfield 0028, Pretoria, South Africa
- Biosystematics Division, Agricultural Research Council – Plant Health and Protection, P. Bag X134, Queenswood, Pretoria 0121, South Africa
| | - A. Vizzini
- Department of Life Sciences and Systems Biology, University of Turin, Viale P.A. Mattioli 25, 10125, Torino, Italy
| | - N. Yilmaz
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Hatfield 0028, Pretoria, South Africa
| | - I.V. Zmitrovich
- Komarov Botanical Institute of the Russian Academy of Sciences, Saint Petersburg, Russia
| | | | - T. Boekhout
- Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands
- Institute of Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, The Netherlands
| | - T. Kehlet
- Natural History Museum of Denmark, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen E, Denmark
| | - T. Læssøe
- Natural History Museum of Denmark, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen E, Denmark
| | - J.Z. Groenewald
- Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands
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Chikte RG, Paknikar KM, Rajwade JM, Sharma J. Nanomaterials for the control of bacterial blight disease in pomegranate: quo vadis? Appl Microbiol Biotechnol 2019; 103:4605-4621. [PMID: 30993385 DOI: 10.1007/s00253-019-09740-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [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: 10/22/2018] [Revised: 02/28/2019] [Accepted: 03/03/2019] [Indexed: 12/31/2022]
Abstract
Bacterial blight, caused by Xanthomonas axonopodis pv. punicae, Xap is a serious threat to commercially successful pomegranate (Punica granatum L) crop. Owing to the non-availability of disease-resistant varieties of pomegranate, integrated disease management involving change of season, adequate nutrition, and preventive sprays of bactericides is used to control Xap. We undertook a systematic study to assess the efficacy of metal-based nanomaterials (Cu, CuO, ZnO, CaO, MgO) for the control of Xap. The antimicrobial effectiveness was in the order Cu > ZnO > MgO > CuO with MIC (minimum inhibitory concentration) 2.5, 20, 190, 200, and 1600 μg/ml. A time-to-kill curve indicated that Cu nanoparticles (CuNPs) killed Xap cells within 30 min at 2.5 μg/ml. Under controlled conditions (polyhouse), foliar application of CuNPs (400 μg/ml) resulted in ~ 90 and ~ 15% disease reduction in 6-month-old infected plants at early (disease severity 10%) and established (disease severity 40%) stages of infection, respectively. In a subsequent field study on severely infected 7-year-old plants, applications of nanoparticles reduced the disease incidence by ~ 20% as compared to untreated control. Microscopic observations revealed that CuNPs reduced the bacterial colonization of the leaf surface. Anti-Xap activity of foliar applied CuNPs was on par with conventionally used copper oxychloride (3000 μg/ml) albeit at 8-fold reduced copper concentration. Thus, early disease detection and application of effective dosage of copper nanoparticles can indeed help the farmer in achieving rapid infection control. Further studies on use of combinations of nanoparticles for management of bacterial blight are warranted.
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Affiliation(s)
- R G Chikte
- Nanobioscience Group, Agharkar Research Institute, G. G. Agarkar Road, Pune, Maharashtra, 411 004, India.,Savitribai Phule Pune University, Ganeshkind Road, Pune, Maharashtra, 411 007, India
| | - K M Paknikar
- Nanobioscience Group, Agharkar Research Institute, G. G. Agarkar Road, Pune, Maharashtra, 411 004, India. .,Savitribai Phule Pune University, Ganeshkind Road, Pune, Maharashtra, 411 007, India.
| | - Jyutika M Rajwade
- Nanobioscience Group, Agharkar Research Institute, G. G. Agarkar Road, Pune, Maharashtra, 411 004, India. .,Savitribai Phule Pune University, Ganeshkind Road, Pune, Maharashtra, 411 007, India.
| | - J Sharma
- ICAR-National Research Centre on Pomegranate, Kegaon, Solapur, Maharashtra, 413255, India
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Soni M, Bhattacharya C, Sharma J, Dutta P. Bioassay and molecular study for detection of insecticide resistance dengue causing mosquito vectors. Indian J Med Microbiol 2019; 36:435-438. [PMID: 30429402 DOI: 10.4103/ijmm.ijmm_18_120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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: 11/04/2022]
Abstract
Nowadays, dengue infection creates a major problem across the country. The vector species carrying dengue infection has progressively started to developed resistance against most of the currently used insecticides. Hence, a study was carried out in dengue-endemic areas of Assam and Arunachal Pradesh to find the current situation of insecticide susceptibility status of dengue vectors. Based on the previous history of dengue incidence, Aedes mosquitoes were collected from Dibrugarh, Kamrup, Sivasagar, Tezpur and Tinsukia districts in Assam and Pasighat district in Arunachal Pradesh to test the insecticide resistance status through bioassay and molecular methods. The WHO standard bioassay test kits were used to detect insecticide susceptibility status among dengue vectors. In molecular study, allele-specific polymerase chain reaction (PCR) method was done for the detection of mutations in paratype voltage-gated sodium channel gene of Aedes aegypti and Aedes albopictus mosquitoes. In bioassay method, 100% A. aegypti mosquitoes were found to be resistant towards dichlorodiphenyltrichloroethane (DDT), 8% towards pyrethroid and 4% towards malathion. Similarly, 92% A. albopictus mosquitoes have shown resistance competency towards DDT, 12% towards pyrethroid and 8% towards malathion. In allele-specific PCR methods, V1016G heterozygous mutations were detected from the field collected A. aegypti and A. albopictus mosquitoes of Tinsukia, Dibrugarh and Sivasagar district. Similarly, F1534C heterozygous mutations were observed from A. aegypti mosquitoes of Tezpur, Tinsukia and Sivasagar district and A. albopictus mosquitoes of Tinsukia, Dibrugarh and Sivasagar district. From the study, it was concluded that the Aedes mosquitoes have progressively started to developed resistance towards commonly used insecticides.
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Affiliation(s)
- Monika Soni
- Division of Entomology and Filariasis, Regional Medical Research Centre (ICMR), Dibrugarh, Assam, India
| | - Chandrakanta Bhattacharya
- Division of Entomology and Filariasis, Regional Medical Research Centre (ICMR), Dibrugarh, Assam, India
| | - Jitendra Sharma
- District Surveillance Unit, Office of the Joint Director of Health Services, Lakhimpur, Assam, India
| | - Prafulla Dutta
- Division of Entomology and Filariasis, Regional Medical Research Centre (ICMR), Dibrugarh, Assam, India
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Talley J, Hood SJ, Oden M, Sharma J. Abstract TP472: A Model of the Code Stroke Process for Rural Community Hospitals that Utilizes a Critical Care Nurse to Decrease Door-to-Needle Times and Improve Patient Outcomes. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.tp472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose:
In this 600 bed, non-academic community hospital, door-to-needle times soared to as high as 120 minutes in some cases. Issues ranged from high acuity patients in the Emergency Department to RN’s not knowing how to mix and give tPA. The stroke neurologist and ED physicians desired to come up with a protocol that would better serve this population of patients.
Methods:
A Stroke Team was established, led by the Stroke Neurologist. The team designed a Code Stroke Protocol and determined that the protocol should be led by a critical care nurse from the SICU. They would be intensely trained on the stroke protocol and would respond to all code strokes. In addition, a “code stroke backpack” was created that carries everything the nurse could need to administer tPA. The backpack includes the tPA and a nicardipine drip, among other medications that could be used during the code stroke. Having a strict protocol, a trained critical care nurse, and the medicine in a backpack, would streamline the process.
Results:
After initiating the new code stroke process, there was a significant decrease in door-to-needle times [78.9 min average (January 2016-February 2017)] to [36.8 min average (March 2017-December 2017)]. There was an immediate 36 minute drop the month of initiation. NIH scores have shown dramatic decreases in post tPA patients.
Conclusions:
In conclusion, the use of a critical care nurse to run the code stroke, proved to be highly successful and more importantly, sustainable. With a core of nurses that are proficient at the code stroke protocol, pressure was taken off of the emergency department nurses and limited issues that would prolong the administration of tPA. This process is differentiated from others by the stroke-trained nurse carrying the backpack with the medications. It should be considered in rural community hospitals with less resources than larger medical centers.
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Affiliation(s)
| | | | - Matt Oden
- Brookwood Baptist Med Cntr, Birmingham, AL
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Akintayo AA, Abiodun-Ojo OA, Weber C, Sharma J, Cohen C, Sica G, Halkar R, Goodman MM, Schuster DM. Feasibility of Hyperfunctioning Parathyroid Gland Localization Using [ 18F]fluciclovine PET/CT. Mol Imaging Biol 2019; 21:818-824. [PMID: 30617729 DOI: 10.1007/s11307-018-01309-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 11/27/2022]
Abstract
PURPOSE To evaluate the ability of anti-1-amino-3-anti-1-amino-3-[18F]fluorocyclobutane-1-carboxylic acid ([18F]fluciclovine) positron emission tomography/X-ray computed tomography (PET/CT) in comparison to Technetium-99m 2-methoxy isobutyl isonitrile ([99mTc]sestamibi) single-photon emission computed tomography/CT (SPECT/CT) for the localization of hyperfunctioning parathyroid glands in patients with hyperparathyroidism. PROCEDURES Four patients with hyperparathyroidism underwent 60-minutes sequential neck and thorax PET/CT after [18F]fluciclovine (352 ± 28 MBq) injection. Lesion uptake and target-to-background ratios (TBR) were compared with [99mTc]sestamibi (798 ± 27 MBq) SPECT/CT in the same patient. RESULTS Both techniques detected 4/5 hyperfunctioning parathyroid glands identified at surgery. The highest [18F]fluciclovine uptake and TBRs were at 5-9 min with rapid washout. [99mTc]sestamibi had significantly higher TBRs compared with [18F]fluciclovine (5-9 min) for blood pool (10.9 ± 4.7 vs 1.3 ± 0.6; p < 0.01) and reference muscle backgrounds (5.8 ± 3.0 vs 1.7 ± 0.6; p < 0.01), with non-significant trend for thyroid tissue background (1.3 ± 0.5 vs 1.1 ± 0.5; p = 0.73). CONCLUSION Hyperfunctioning parathyroid glands can be detected on [18F]fluciclovine PET/CT at early imaging, but conspicuity (TBR) is better with [99mTc]sestamibi. [18F]fluciclovine PET/CT does not seem promising in the detection of hyperfunctioning parathyroid glands.
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Affiliation(s)
- Akinyemi A Akintayo
- Department of Radiology and Imaging Sciences, Division of Nuclear Medicine and Molecular Imaging, Emory University Hospital, 1364 Clifton Road, Atlanta, GA, USA.
| | - O A Abiodun-Ojo
- Department of Radiology and Imaging Sciences, Division of Nuclear Medicine and Molecular Imaging, Emory University Hospital, 1364 Clifton Road, Atlanta, GA, USA
| | - C Weber
- Department of Surgery, Emory University, Atlanta, GA, USA
| | - J Sharma
- Department of Surgery, Emory University, Atlanta, GA, USA
| | - C Cohen
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - G Sica
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - R Halkar
- Department of Radiology and Imaging Sciences, Division of Nuclear Medicine and Molecular Imaging, Emory University Hospital, 1364 Clifton Road, Atlanta, GA, USA
| | - M M Goodman
- Department of Radiology and Imaging Sciences, Division of Nuclear Medicine and Molecular Imaging, Emory University Hospital, 1364 Clifton Road, Atlanta, GA, USA
| | - D M Schuster
- Department of Radiology and Imaging Sciences, Division of Nuclear Medicine and Molecular Imaging, Emory University Hospital, 1364 Clifton Road, Atlanta, GA, USA
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Jackson J, Davies P, Leggett N, Nugawela MD, Scott LJ, Leach V, Richards A, Blacker A, Abrams P, Sharma J, Donovan J, Whiting P. Systematic review of interventions for the prevention and treatment of postoperative urinary retention. BJS Open 2018; 3:11-23. [PMID: 30734011 PMCID: PMC6354194 DOI: 10.1002/bjs5.50114] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 09/14/2018] [Indexed: 12/14/2022] Open
Abstract
Background Postoperative urinary retention (PO‐UR) is an acute and painful inability to void after surgery that can lead to complications and delayed hospital discharge. Standard treatment with a urinary catheter is associated with a risk of infection and can be distressing, undignified and uncomfortable. This systematic review aimed to identify effective interventions for the prevention and treatment of PO‐UR that might be alternatives to urinary catheterization. Methods Electronic databases were searched from inception to September 2017. Randomized trials of interventions for the prevention or treatment of PO‐UR were eligible for inclusion. Studies were assessed for risk of bias using the Cochrane (2.0) tool. Two reviewers were involved at all review stages. Where possible, data were pooled using random‐effects meta‐analysis. The overall quality of the body of evidence was rated using the GRADE approach. Results Some 48 studies involving 5644 participants were included. Most interventions were pharmacological strategies to prevent PO‐UR. Based on GRADE, there was high‐certainty evidence to support replacing morphine in a regional anaesthetic regimen, using alpha‐blockers (number needed to treat to prevent one case of PO‐UR (NNT) 5, 95 per cent c.i. 5 to 7), the antispasmodic drug drotaverine (NNT 9, 7 to 30) and early postoperative mobilization (NNT 5, 4 to 8) for prevention, and employing hot packs or gauze soaked in warm water for treatment (NNT 2, 2 to 4). Very few studies reported on secondary outcomes of pain, incidence of urinary tract infection or duration of hospital stay. Conclusion Promising interventions exist for PO‐UR, but they need to be evaluated in randomized trials investigating comparative clinical and cost effectiveness, and acceptability to patients.
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Affiliation(s)
- J Jackson
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - P Davies
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - N Leggett
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - M D Nugawela
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - L J Scott
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - V Leach
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - A Richards
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - A Blacker
- University Hospitals Coventry and Warwickshire Coventry UK
| | - P Abrams
- Bristol Urological Institute, North Bristol NHS Trust Bristol UK
| | - J Sharma
- University Hospitals Coventry and Warwickshire Coventry UK
| | - J Donovan
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
| | - P Whiting
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) University Hospitals Bristol NHS Foundation Trust Bristol UK.,Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
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Cheng H, Sharma J, Su C, Li S, Zang X, Perez-Soler R, Halmos B, Borczuk A. Differential expression of immune checkpoints (PD-L1, HHLA2, B7x and B7H3) and their association with driver mutations in pulmonary sarcomatoid carcinoma (PSC). Ann Oncol 2018. [DOI: 10.1093/annonc/mdy304.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Sharma J, Sango C, Kaur P, Bhardwaj N. Crude cellulase treatment for reactivity enhancement of pre-hydrolysed kraft dissolving pulp for viscose. N Biotechnol 2018. [DOI: 10.1016/j.nbt.2018.05.1089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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50
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White JD, O'Keefe BR, Sharma J, Javed G, Nukala V, Ganguly A, Khan IA, Kumar NB, Mukhtar H, Pauli GF, Walker L, Sivaram S, Rajaraman P, Trimble EL. India-United States Dialogue on Traditional Medicine: Toward Collaborative Research and Generation of an Evidence Base. J Glob Oncol 2018; 4:1-10. [PMID: 30241135 PMCID: PMC6180779 DOI: 10.1200/jgo.17.00099] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Therapies originating from traditional medical systems are widely used by
patients in both India and the United States. The first India-US Workshop on
Traditional Medicine was held in New Delhi, India, on March 3 and 4, 2016, as a
collaboration between the Ministry of Ayurveda, Yoga and Naturopathy, Unani,
Siddha, and Homoeopathy (AYUSH) of the Government of India, the US National
Cancer Institute (NCI), National Institutes of Health, and the Office of Global
Affairs, US Department of Health and Human Services. It was attended by Indian
and US policymakers, scientists, academics, and medical practitioners from
various disciplines. The workshop provided an opportunity to open a dialogue
between AYUSH and NCI to identify promising research results and potential
topics for Indo-US collaboration. Recommendations that emerged from the workshop
underlined the importance of applying rational and scientific approaches for
drug development; standardizing traditional medicine products and procedures to
ensure reliability and reproducibility; promotion of collaboration between
Indian traditional medicine practitioners and researchers and US researchers;
greater integration of evidence-based traditional medicine practices with
mainstream medical practices in India; and development of training programs
between AYUSH and NCI to facilitate crosstraining. Several positive developments
took place after the thought-provoking deliberations.
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Affiliation(s)
- Jeffrey D White
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Barry R O'Keefe
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Jitendra Sharma
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Ghazala Javed
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Vid Nukala
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Aniruddha Ganguly
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Ikhlas A Khan
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Nagi B Kumar
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Hasan Mukhtar
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Guido F Pauli
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Larry Walker
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Sudha Sivaram
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Preetha Rajaraman
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
| | - Edward L Trimble
- Jeffrey D. White, Barry R. O'Keefe, Aniruddha Ganguly, Sudha Sivaram, Preetha Rajaraman, and Edward L. Trimble, National Cancer Institute, Bethesda, MD; Jitendra Sharmaand Ghazala Javed, Government of India; Vid Nukala, US Embassy, New Delhi, India; Ikhlas A. Khanand Larry Walker, University of Mississippi, Oxford, MS; Nagi B. Kumar, Moffitt Cancer Center, Tampa, FL; Hasan Mukhtar, University of Wisconsin-Madison, Madison, WI; and Guido F. Pauli, University of Illinois at Chicago, Chicago, IL
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