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Deng K, Hu H, Li Y, Li X, Deng H, Chen Y, Yang X, Wang L, Chen X. Mechanistic investigation and dual-mode colorimetric-chemiluminescent detection of glyphosate based on the specific inhibition of Fe 3O 4@Cu nanozyme peroxidase-like activity. Food Chem 2024; 443:138501. [PMID: 38295565 DOI: 10.1016/j.foodchem.2024.138501] [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: 10/16/2023] [Revised: 01/14/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
In this study, a dual-mode colorimetric/CL nanosensor was developed for glyphosate detection based on the specific inhibition of Fe3O4@Cu peroxidase-like activity. Synthesized Fe3O4@Cu exhibited high levels of peroxidase-like activity that triggered the oxidation of luminol/3,3',5,5'-tetramethyl benzidine dihydrochloride (TMB) to excited-state 3-aminophthalic acid/blue oxTMB, thereby delivering a CL signal/visible colorimetric signal, however, the presence of glyphosate inhibited this activity, resulting in a decrease in signal strength. In-depth investigation revealed that this inhibitory mechanism occurs via two pathways: one in which glyphosate chelates with Fe(III)/Cu(II) and occupy the catalytical active sites of Fe3O4@Cu, thereby decreasing the generation of OH, and another in which glyphosate competes with TMB to consume generated OH, thus reducing the oxidation of TMB. This mechanism formed the basis of our novel dual-mode colorimetric/CL glyphosate nanosensor, which achieved limits of detection (LODs) of 0.086 µg/mL and 0.019 µg/mL in tests, thus demonstrating its significant potential for on-site glyphosate monitoring.
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Affiliation(s)
- Ke Deng
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China; Food Microbiology Key Laboratory of Sichuan Province, China
| | - Haixia Hu
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Yi Li
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Xue Li
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Huiling Deng
- Chongqing Chongke Inspection & Testing Co., Ltd, China
| | - Ya Chen
- Chongqing Research Institute of Daily-used Chemical Industry, China
| | - Xiao Yang
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Lijun Wang
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China; Food Microbiology Key Laboratory of Sichuan Province, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, China.
| | - Xianggui Chen
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China; Food Microbiology Key Laboratory of Sichuan Province, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, China.
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Li Y, Wu X, Liu M, Deng K, Tullini A, Zhang X, Shi J, Lai H, Tonetti MS. Enhanced control of periodontitis by an artificial intelligence-enabled multimodal-sensing toothbrush and targeted mHealth micromessages: A randomized trial. J Clin Periodontol 2024. [PMID: 38631679 DOI: 10.1111/jcpe.13987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/25/2024] [Accepted: 04/01/2024] [Indexed: 04/19/2024]
Abstract
AIM Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains challenging due to patients' poor performance and adherence to the necessary oral hygiene procedures. Novel, artificial intelligence-enabled multimodal-sensing toothbrushes (AI-MST) can guide patients' oral hygiene practices in real-time and transmit valuable data to clinicians, thus enabling effective remote monitoring and guidance. The aim of this trial was to assess the effect of such a system as an adjunct to clinical practice guideline-conform treatment. MATERIALS AND METHODS This was a single-centre, double-blind, standard-of-care controlled, randomized, parallel-group, superiority trial. Male and female adults with generalized Stage II/III periodontitis were recruited at the Shanghai Ninth People's Hospital, China. Subjects received a standard-of-care oral hygiene regimen or a technology-enabled, theory-based digital intervention consisting of an AI-MST and targeted doctor's guidance by remote micromessaging. Additionally, both groups received guideline-conform periodontal treatment. The primary outcome was the resolution of inflamed periodontal pockets (≥4 mm with bleeding on probing) at 6 months. The intention-to-treat (ITT) analysis included all subjects who received the allocated treatment and at least one follow-up. RESULTS One hundred patients were randomized and treated (50 tests/controls) between 1 February and 30 November 2022. Forty-eight tests (19 females) and 47 controls (16 females) were analysed in the ITT population. At 6 months, the proportion of inflamed periodontal pockets decreased from 80.7% (95% confidence interval [CI] 76.5-84.8) to 52.3% (47.7-57.0) in the control group, and from 81.4% (77.1-85.6) to 44.4% (39.9-48.9) in the test group. The inter-group difference was 7.9% (1.6-14.6, p < .05). Test subjects achieved better levels of oral hygiene (p < .001). No significant adverse events were observed. CONCLUSIONS The tested digital health intervention significantly improved the outcome of periodontal therapy by enhancing the adherence and performance of self-performed oral hygiene. The model breaks the traditional model of oral health care and has the potential to improve efficiency and reduce costs (NCT05137392).
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Affiliation(s)
- Yuan Li
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Xinyu Wu
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Min Liu
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Ke Deng
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Annamaria Tullini
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Xiao Zhang
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Junyu Shi
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Hongchang Lai
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Maurizio S Tonetti
- Department of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center of Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- European Research Group on Periodontology, Genova, Italy
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Ahmed SA, Ajami M, Aji B, Akara EM, Akbarialiabad H, Akinosoglou K, Akinyemiju T, Akkaif MA, Akyirem S, Al Hamad H, Al Hasan SM, Alahdab F, Alalalmeh SO, Alalwan TA, Al-Aly Z, Alam K, Alam M, Alam N, Al-amer RM, Alanezi FM, Alanzi TM, Al-Azzam S, Albakri A, Albashtawy M, AlBataineh MT, Alcalde-Rabanal JE, Aldawsari KA, Aldhaleei WA, Aldridge RW, Alema HB, Alemayohu MA, Alemi S, Alemu YM, Al-Gheethi AAS, Alhabib KF, Alhalaiqa FAN, Al-Hanawi MK, Ali A, Ali A, Ali L, Ali MU, Ali R, Ali S, Ali SSS, Alicandro G, Alif SM, Alikhani R, Alimohamadi Y, Aliyi AA, Aljasir MAM, Aljunid SM, Alla F, Allebeck P, Al-Marwani S, Al-Maweri SAA, Almazan JU, Al-Mekhlafi HM, Almidani L, Almidani O, Alomari MA, Al-Omari B, Alonso J, Alqahtani JS, Alqalyoobi S, Alqutaibi AY, Al-Sabah SK, Altaany Z, Altaf A, Al-Tawfiq JA, Altirkawi KA, Aluh DO, Alvis-Guzman N, Alwafi H, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Amani R, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Amusa GA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Andrei T, Angus C, Anil A, Anil S, Anoushiravani A, Ansari H, Ansariadi A, Ansari-Moghaddam A, Antony CM, Antriyandarti E, Anvari D, Anvari S, Anwar S, Anwar SL, Anwer R, Anyasodor AE, Aqeel M, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Aremu A, Aremu O, Ariffin H, Arkew M, Armocida B, Arndt MB, Ärnlöv J, Arooj M, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Asaad M, Asadi-Lari M, Asgedom AA, Asghariahmadabad M, Asghari-Jafarabadi M, Ashraf M, Aslani A, Astell-Burt T, Athar M, Athari SS, Atinafu BTT, Atlaw HW, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awedew AF, Aweke AM, Ayala Quintanilla BP, Ayatollahi H, Ayuso-Mateos JL, Ayyoubzadeh SM, Azadnajafabad S, Azevedo RMS, Azzam AY, B DB, Babu AS, Badar M, Badiye AD, Baghdadi S, Bagheri N, Bagherieh S, Bah S, Bahadorikhalili S, Bahmanziari N, Bai R, Baig AA, Baker JL, Bako AT, Bakshi RK, Balakrishnan S, Balasubramanian M, Baltatu OC, Bam K, Banach M, Bandyopadhyay S, Banik PC, Bansal H, Bansal K, Barbic F, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Bärnighausen TW, Barone-Adesi F, Barqawi HJ, Barrero LH, Barrow A, Barteit S, Barua L, Basharat Z, Bashiri A, Basiru A, Baskaran P, Basnyat B, Bassat Q, Basso JD, Basting AVL, Basu S, Batra K, Baune BT, Bayati M, Bayileyegn NS, Beaney T, Bedi N, Beghi M, Behboudi E, Behera P, Behnoush AH, Behzadifar M, Beiranvand M, Bejarano Ramirez DF, Béjot Y, Belay SA, Belete CM, Bell ML, Bello MB, Bello OO, Belo L, Beloukas A, Bender RG, Bensenor IM, Beran A, Berezvai Z, Berhie AY, Berice BN, Bernstein RS, Bertolacci GJ, Bettencourt PJG, Beyene KA, Bhagat DS, Bhagavathula AS, Bhala N, Bhalla A, Bhandari D, Bhangdia K, Bhardwaj N, Bhardwaj P, Bhardwaj PV, Bhargava A, Bhaskar S, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Bisulli F, Biswas A, Biswas B, Bitaraf S, Bitew BD, Bitra VR, Bjørge T, Boachie MK, Boampong MS, Bobirca AV, Bodolica V, Bodunrin AO, Bogale EK, Bogale KA, Bohlouli S, Bolarinwa OA, Boloor A, Bonakdar Hashemi M, Bonny A, Bora K, Bora Basara B, Borhany H, Borzutzky A, Bouaoud S, Boustany A, Boxe C, Boyko EJ, Brady OJ, Braithwaite D, Brant LC, Brauer M, Brazinova A, Brazo-Sayavera J, Breitborde NJK, Breitner S, Brenner H, Briko AN, Briko NI, Britton G, Brown J, Brugha T, Bulamu NB, Bulto LN, Buonsenso D, Burns RA, Busse R, Bustanji Y, Butt NS, Butt ZA, Caetano dos Santos FL, Calina D, Cámera LA, Campos LA, Campos-Nonato IR, Cao C, Cao Y, Capodici A, Cárdenas R, Carr S, Carreras G, Carrero JJ, Carugno A, Carvalheiro CG, Carvalho F, Carvalho M, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Catapano AL, Cattaruzza MS, Cederroth CR, Cegolon L, Cembranel F, Cenderadewi M, Cercy KM, Cerin E, Cevik M, Chadwick J, Chahine Y, Chakraborty C, Chakraborty PA, Chan JSK, Chan RNC, Chandika RM, Chandrasekar EK, Chang CK, Chang JC, Chanie GS, Charalampous P, Chattu VK, Chaturvedi P, Chatzimavridou-Grigoriadou V, Chaurasia A, Chen AW, Chen AT, Chen CS, Chen H, Chen MX, Chen S, Cheng CY, Cheng ETW, Cherbuin N, Cheru WA, Chien JH, Chimed-Ochir O, Chimoriya R, Ching PR, Chirinos-Caceres JL, Chitheer A, Cho WCS, Chong B, Chopra H, Choudhari SG, Chowdhury R, Christopher DJ, Chukwu IS, Chung E, Chung E, Chung E, Chung SC, Chutiyami M, Cindi Z, Cioffi I, Claassens MM, Claro RM, Coberly K, Cogen RM, Columbus A, Comfort H, Conde J, Cortese S, Cortesi PA, Costa VM, Costanzo S, Cousin E, Couto RAS, Cowden RG, Cramer KM, Criqui MH, Cruz-Martins N, Cuadra-Hernández SM, Culbreth GT, Cullen P, Cunningham M, Curado MP, Dadana S, Dadras O, Dai S, Dai X, Dai Z, Dalli LL, Damiani G, Darega Gela J, Das JK, Das S, Das S, Dascalu AM, Dash NR, Dashti M, Dastiridou A, Davey G, Dávila-Cervantes CA, Davis Weaver N, Davletov K, De Leo D, de Luca K, Debele AT, Debopadhaya S, Degenhardt L, Dehghan A, Deitesfeld L, Del Bo' C, Delgado-Enciso I, Demessa BH, Demetriades AK, Deng K, Deng X, Denova-Gutiérrez E, Deravi N, Dereje N, Dervenis N, Dervišević E, Des Jarlais DC, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhimal M, Dhingra S, Dhulipala VR, Dias da Silva D, Diaz D, Diaz MJ, Dima A, Ding DD, Ding H, Dinis-Oliveira RJ, Dirac MA, Djalalinia S, Do THP, do Prado CB, Doaei S, Dodangeh M, Dodangeh M, Dohare S, Dokova KG, Dolecek C, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, dos Santos WM, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Du M, Dube J, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dwyer-Lindgren L, Dzianach PA, Dziedzic AM, E'mar AR, Eboreime E, Ebrahimi A, Echieh CP, Edinur HA, Edvardsson D, Edvardsson K, Efendi D, Efendi F, Effendi DE, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, Elbarazi I, Elema TB, Elemam NM, Elgar FJ, Elgendy IY, ElGohary GMT, Elhabashy HR, Elhadi M, El-Huneidi W, Elilo LT, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emeto TI, Engelbert 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Ghahramani S, Ghailan KY, Ghasemi MR, Ghasempour Dabaghi G, Ghasemzadeh A, Ghashghaee A, Ghassemi F, Ghazy RM, Ghimire A, Ghoba S, Gholamalizadeh M, Gholamian A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Ginindza TG, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golchin A, Goldust M, Golechha M, Goleij P, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Goulart BNG, Goyal A, Grada A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Guimarães RA, Gulati S, Gunawardane DA, Gunturu S, Guo C, Gupta AK, Gupta B, Gupta MK, Gupta M, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Gurmessa L, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadei M, Hadi NR, Haep N, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halboub ES, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hamilton EB, Han C, Han Q, Hanif A, Hanifi N, Hankey GJ, Hanna F, Hannan MA, Haque MN, Harapan H, Hargono A, Haro JM, Hasaballah AI, Hasan I, Hasan MT, Hasani H, Hasanian M, Hashi A, Hasnain MS, Hassan I, Hassanipour S, Hassankhani H, Haubold J, Havmoeller RJ, Hay SI, He J, Hebert JJ, Hegazi OE, Heidari G, Heidari M, Heidari-Foroozan M, Helfer B, Hendrie D, Herrera-Serna BY, Herteliu C, Hesami H, Hezam K, Hill CL, Hiraike Y, Holla R, Horita N, Hossain MM, Hossain S, Hosseini MS, Hosseinzadeh H, Hosseinzadeh M, Hosseinzadeh Adli A, Hostiuc M, Hostiuc S, Hsairi M, Hsieh VCR, Hsu RL, Hu C, Huang J, Hultström M, Humayun A, Hundie TG, Hussain J, Hussain MA, Hussein NR, Hussien FM, Huynh HH, Hwang BF, Ibitoye SE, Ibrahim KS, Iftikhar PM, Ijo D, Ikiroma AI, Ikuta KS, Ikwegbue PC, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Inamdar S, Indriasih E, Iqhrammullah M, Iradukunda A, Iregbu KC, Islam MR, Islam SMS, Islami F, Ismail F, Ismail NE, Iso H, Isola G, Iwagami M, Iwu CCD, Iyamu IO, Iyer M, J LM, Jaafari J, Jacob L, Jacobsen KH, Jadidi-Niaragh F, Jafarinia M, Jafarzadeh A, Jaggi K, Jahankhani K, Jahanmehr N, Jahrami H, Jain N, Jairoun AA, Jaiswal A, Jamshidi E, Janko MM, Jatau AI, Javadov S, Javaheri T, Jayapal SK, Jayaram S, Jebai R, Jee SH, Jeganathan J, Jha AK, Jha RP, Jiang H, Jin Y, Johnson O, Jokar M, Jonas JB, Joo T, Joseph A, Joseph N, Joshua CE, Joshy G, Jozwiak JJ, Jürisson M, K V, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kadir DH, Kalani R, Kalankesh LR, Kalankesh LR, Kaliyadan F, Kalra S, Kamal VK, Kamarajah SK, Kamath R, Kamiab Z, Kamyari N, Kanagasabai T, Kanchan T, Kandel H, Kanmanthareddy AR, Kanmiki EW, Kanmodi KK, Kannan S S, Kansal SK, Kantar RS, Kapoor N, Karajizadeh M, Karanth SD, Karasneh RA, Karaye IM, Karch A, Karim A, Karimi SE, Karimi Behnagh A, Kashoo FZ, Kasnazani QHA, Kasraei H, Kassebaum NJ, Kassel MB, Kauppila JH, Kaur N, Kawakami N, Kayode GA, Kazemi F, Kazemian S, Kazmi TH, Kebebew GM, Kebede AD, Kebede F, Keflie TS, Keiyoro PN, Keller C, Kelly JT, Kempen JH, Kerr JA, Kesse-Guyot E, Khajuria H, Khalaji A, Khalid N, Khalil AA, Khalilian A, Khamesipour F, Khan A, Khan A, Khan G, Khan I, Khan IA, Khan MN, Khan M, Khan MJ, Khan MAB, Khan ZA, Khan suheb MZ, Khanmohammadi S, Khatab K, Khatami F, Khatatbeh H, Khatatbeh MM, Khavandegar A, Khayat Kashani HR, Khidri FF, Khodadoust E, Khorgamphar M, Khormali M, Khorrami Z, Khosravi A, Khosravi MA, Kifle ZD, Kim G, Kim J, Kim K, Kim MS, Kim YJ, Kimokoti RW, Kinzel KE, Kisa A, Kisa S, Klu D, Knudsen AKS, Kocarnik JM, Kochhar S, Kocsis T, Koh DSQ, Kolahi AA, Kolves K, Kompani F, Koren G, Kosen S, Kostev K, Koul PA, Koulmane Laxminarayana SL, Krishan K, Krishna H, Krishna V, Krishnamoorthy V, Krishnamoorthy Y, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kuddus MA, Kuddus M, Kuitunen I, Kulimbet M, Kulkarni V, Kumar A, Kumar A, Kumar H, Kumar M, Kumar R, Kumari M, Kumie FT, Kundu S, Kurmi OP, Kusnali A, Kusuma D, Kwarteng A, Kyriopoulos I, Kyu HH, La Vecchia C, Lacey B, Ladan MA, Laflamme L, Lagat AK, Lager ACJ, Lahmar A, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lam H, Lám J, Landrum KR, Lanfranchi F, Lang JJ, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lassi ZS, Latief K, Latifinaibin K, Lauriola P, Le NHH, Le TTT, Le TDT, Ledda C, Ledesma JR, Lee M, Lee PH, Lee SW, Lee SWH, Lee WC, Lee YH, LeGrand KE, Leigh J, Leong E, Lerango TL, Li MC, Li W, Li X, Li Y, Li Z, Ligade VS, Likaka ATM, Lim LL, Lim SS, Lindstrom M, Linehan C, Liu C, Liu G, Liu J, Liu R, Liu S, Liu X, Liu X, Llanaj E, Loftus MJ, López-Bueno R, Lopukhov PD, Loreche AM, Lorkowski S, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Lugo A, Lunevicius R, Ma ZF, Maass KL, Machairas N, Machoy M, Madadizadeh F, Madsen C, Madureira-Carvalho ÁM, Maghazachi AA, Maharaj SB, Mahjoub S, Mahmoud MA, Mahmoudi A, Mahmoudi E, Mahmoudi R, Majeed A, Makhdoom IF, Malakan Rad E, Maled V, Malekzadeh R, Malhotra AK, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansouri P, Mansournia MA, Mantovani LG, Maqsood S, Marasini BP, Marateb HR, Maravilla JC, Marconi AM, Mardi P, Marino M, Marjani A, Martinez G, Martinez-Guerra BA, Martinez-Piedra R, Martini D, Martini S, Martins-Melo FR, Martorell M, Marx W, Maryam S, Marzo RR, Masaka A, Masrie A, Mathieson S, Mathioudakis AG, Mathur MR, Mattumpuram J, Matzopoulos R, Maude RJ, Maugeri A, Maulik PK, Mayeli M, Mazaheri M, Mazidi M, McGrath JJ, McKee M, McKowen ALW, McLaughlin SA, McPhail SM, Mechili EA, Medina JRC, Mediratta RP, Meena JK, Mehra R, Mehrabani-Zeinabad K, Mehrabi Nasab E, Mekene Meto T, Meles GG, Mendez-Lopez MAM, Mendoza W, Menezes RG, Mengist B, Mentis AFA, Meo SA, Meresa HA, Meretoja A, Meretoja TJ, Mersha AM, Mesfin BA, Mestrovic T, Mettananda KCD, Mettananda S, Meylakhs P, Mhlanga A, Mhlanga L, Mi T, Miazgowski T, Micha G, Michalek IM, Miller TR, Mills EJ, Minh LHN, Mini GK, Mir Mohammad Sadeghi P, Mirica A, Mirijello A, Mirrakhimov EM, Mirutse MK, Mirzaei M, Misganaw A, Mishra A, Misra S, Mitchell PB, Mithra P, Mittal C, Mobayen M, Moberg ME, Mohamadkhani A, Mohamed J, Mohamed MFH, Mohamed NS, Mohammad-Alizadeh-Charandabi S, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammed H, Mohammed H, Mohammed M, Mohammed S, Mohammed S, Mohan V, Mojiri-Forushani H, Mokari A, Mokdad AH, Molinaro S, Molokhia M, Momtazmanesh S, Monasta L, Mondello S, Moni MA, Moodi Ghalibaf A, Moradi M, Moradi Y, Moradi-Lakeh M, Moradzadeh M, Moraga P, Morawska L, Moreira RS, Morovatdar N, Morrison SD, Morze J, Mosser JF, Motappa R, Mougin V, Mouodi S, Mousavi P, Mousavi SE, Mousavi Khaneghah A, Mpolya EA, Mrejen M, Mubarik S, Muccioli L, Mueller UO, Mughal F, Mukherjee S, Mulita F, Munjal K, Murillo-Zamora E, Musaigwa F, Musallam KM, Mustafa A, Mustafa G, Muthupandian S, Muthusamy R, Muzaffar M, Myung W, Nagarajan AJ, Nagel G, Naghavi P, Naheed A, Naik GR, Naik G, Nainu F, Nair S, Najmuldeen HHR, Nakhostin Ansari N, Nangia V, Naqvi AA, Narasimha Swamy S, Narayana AI, Nargus S, Nascimento BR, Nascimento GG, Nasehi S, Nashwan AJ, Natto ZS, 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Romadlon DS, Romero-Rodríguez E, Romoli M, Ronfani L, Roshandel G, Roth GA, Rout HS, Roy N, Roy P, Rubagotti E, Ruela GDA, Rumisha SF, Runghien T, Rwegerera GM, Rynkiewicz A, S N C, Saad AMA, Saadatian Z, Saber K, Saber-Ayad MM, SaberiKamarposhti M, Sabour S, Sacco S, Sachdev PS, Sachdeva R, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi E, Sadeghian F, Saeb MR, Saeed U, Safaeinejad F, Safi SZ, Sagar R, Saghazadeh A, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahoo U, Sahu M, Saif Z, Sajid MR, Sakshaug JW, Salam N, Salamati P, Salami AA, Salaroli LB, Saleh MA, Salehi S, Salem MR, Salem MZY, Salimi S, Samadi Kafil H, Samadzadeh S, Samargandy S, Samodra YL, Samy AM, Sanabria J, Sanna F, Santomauro DF, Santos IS, Santric-Milicevic MM, Sao Jose BP, Sarasmita MA, Saraswathy SYI, Saravanan A, Saravi B, Sarikhani Y, Sarkar T, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathish T, Satpathy M, Sayeed A, Sayeed MA, Saylan M, Sayyah M, Scarmeas N, Schaarschmidt BM, Schlaich MP, Schlee W, Schmidt MI, Schneider IJC, Schuermans A, Schumacher AE, Schutte AE, Schwarzinger M, Schwebel DC, Schwendicke F, Šekerija M, Selvaraj S, Senapati S, Senthilkumaran S, Sepanlou SG, Serban D, Sethi Y, Sha F, Shabany M, Shafaat A, Shafie M, Shah NS, Shah PA, Shah SM, Shahabi S, Shahbandi A, Shahid I, Shahid S, Shahid W, Shahsavari HR, Shahwan MJ, Shaikh A, Shaikh MA, Shakeri A, Shalash AS, Sham S, Shamim MA, Shams-Beyranvand M, Shamshad H, Shamsi MA, Shanawaz M, Shankar A, Sharfaei S, Sharifan A, Sharifi-Rad J, Sharma R, Sharma S, Sharma U, Sharma V, Shastry RP, Shavandi A, Shayan M, Shehabeldine AME, Sheikh A, Sheikhi RA, Shen J, Shetty A, Shetty BSK, Shetty PH, Shi P, Shibuya K, Shiferaw D, Shigematsu M, Shin MJ, Shin YH, Shiri R, Shirkoohi R, Shitaye NA, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shokraneh F, Shokri A, Shool S, Shorofi SA, Shrestha S, Shuval K, Siddig EE, Silva JP, Silva LMLR, Silva S, Simpson CR, Singal A, Singh A, Singh BB, Singh G, Singh J, Singh NP, Singh P, Singh S, Sinha DN, Sinto R, Siraj MS, Sirota SB, Sitas F, Sivakumar S, Skryabin VY, Skryabina AA, Sleet DA, Socea B, Sokhan A, Solanki R, Solanki S, Soleimani H, Soliman SSM, Song S, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Spearman S, Sreeramareddy CT, Srivastava VK, Stanaway JD, Stanikzai MH, Stark BA, Starnes JR, Starodubova AV, Stein C, Stein DJ, Steinbeis F, Steiner C, Steinmetz JD, Steiropoulos P, Stevanović A, Stockfelt L, Stokes MA, Stortecky S, Subramaniyan V, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun HZ, Sun J, Sundström J, Sunkersing D, Sunnerhagen KS, Swain CK, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabish M, TADAKAMADLA JYOTHI, Tadakamadla SK, Taheri Abkenar Y, Taheri Soodejani M, Taiba J, Takahashi K, Talaat IM, Talukder A, Tampa M, Tamuzi JL, Tan KK, Tandukar S, Tang H, Tang HK, Tarigan IU, Tariku MK, Tariqujjaman M, Tarkang EE, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tefera YM, Temsah MH, Temsah RMH, Teramoto M, Tesler R, Teye-Kwadjo E, Thakur R, Thangaraju P, Thankappan KR, Tharwat S, Thayakaran R, Thomas N, Thomas NK, Thomson AM, Thrift AG, Thum CCC, Thygesen LC, Tian J, Tichopad A, Ticoalu JHV, Tillawi T, Tiruye TY, Titova MV, Tonelli M, Topor-Madry R, Toriola AT, Torre AE, Touvier M, Tovani-Palone MR, Tran JT, Tran NM, Trico D, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Uddin SMN, Udoakang AJ, Udoh A, Ullah A, Ullah I, Ullah S, Ullah S, Umakanthan S, Umeokonkwo CD, Unim B, Unnikrishnan B, Unsworth CA, Upadhyay E, Urso D, Usman JS, Vahabi SM, Vaithinathan AG, Valizadeh R, Van de Velde SM, Van den Eynde J, Varga O, Vart P, Varthya SB, Vasankari TJ, Vasic M, Vaziri S, Vellingiri B, Venketasubramanian N, Verghese NA, Verma M, Veroux M, Verras GI, Vervoort D, Villafañe JH, Villanueva GI, Vinayak M, Violante FS, Viskadourou M, Vladimirov SK, Vlassov V, Vo B, Vollset SE, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang N, Wang S, Wang S, Wang Y, Wang YP, Waqas M, Ward P, Wassie EG, Watson S, Watson SLW, Weerakoon KG, Wei MY, Weintraub RG, Weiss DJ, Westerman R, Whisnant JL, Wiangkham T, Wickramasinghe DP, Wickramasinghe ND, Wilandika A, Wilkerson C, Willeit P, Wilson S, Wojewodzic MW, Woldegebreal DH, Wolf AW, Wolfe CDA, Wondimagegene YA, Wong YJ, Wongsin U, Wu AM, Wu C, Wu F, Wu X, Wu Z, Xia J, Xiao H, Xie Y, Xu S, Xu WD, Xu X, Xu YY, Yadollahpour A, Yamagishi K, Yang D, Yang L, Yano Y, Yao Y, Yaribeygi H, Ye P, Yehualashet SS, Yesiltepe M, Yesuf SA, Yezli S, Yi S, Yigezu A, Yiğit A, Yiğit V, Yip P, Yismaw MB, Yismaw Y, Yon DK, Yonemoto N, Yoon SJ, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Yuh FH, Zadey S, Zadnik V, Zafari N, Zakham F, Zaki N, Zaman SB, Zamora N, Zand R, Zangiabadian M, Zar HJ, Zare I, Zarrintan A, Zeariya MGM, Zeinali Z, Zhang H, Zhang J, Zhang J, Zhang L, Zhang Y, Zhang ZJ, Zhao H, Zhong C, Zhou J, Zhu B, Zhu L, Ziafati M, Zielińska M, Zitoun OA, Zoladl M, Zou Z, Zuhlke LJ, Zumla A, Zweck E, Zyoud SH, Wool EE, Murray CJL. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024:S0140-6736(24)00367-2. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Deng K, Huang Q, Yan X, Dai Y, Zhao J, Xiong X, Wang H, Chen X, Chen P, Liu L. Facile fabrication of a novel, photodetachable salecan-based hydrogel dressing with self-healing, injectable, and antibacterial properties based on metal coordination. Int J Biol Macromol 2024; 264:130551. [PMID: 38431010 DOI: 10.1016/j.ijbiomac.2024.130551] [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: 10/29/2023] [Revised: 02/05/2024] [Accepted: 02/28/2024] [Indexed: 03/05/2024]
Abstract
Achieving the controllable detachment of polysaccharide-based wound dressings is challenging. In this study, a novel, photodetachable salecan-based hydrogel dressing with injectable, self-healing, antibacterial, and wound healing properties was developed using a green and facile approach. A salecan hydrogel with a uniform porous structure and water content of 90.4 % was prepared by simply mixing salecan and an Fe3+-citric acid complexing solution in an acidic D-(+)-glucono-1,5-lactone environment. Metal coordinate interactions were formed between the released Fe3+ ions and carboxyl groups on the salecan polysaccharide, inducing homogeneous gelation. Benefiting from this dynamic and reversible crosslinking, the salecan hydrogel exhibited self-healing and injectable behavior, facilitating the formation of the desired shapes in situ. The exposure of Fe3+-citric acid to UV light (365 nm) resulted in the reduction of Fe3+ to Fe2+ through photochemical reactions, enabling phototriggered detachment. Moreover, the hydrogel exhibited excellent biocompatibility and satisfactory antibacterial efficacy against Escherichia coli and Staphylococcus aureus of 72.5 % and 85.3 %, respectively. The adhesive strength of the salecan hydrogel to porcine skin was 1.06 ± 0.12 kPa. In vivo wound healing experiments further highlighted the advantages of the prepared hydrogel in alleviating the degree of wound inflammation and promoting tissue regeneration within 12 days.
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Affiliation(s)
- Ke Deng
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Qin Huang
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Xiaotong Yan
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Yan Dai
- School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Juan Zhao
- Sichuan Synlight Biotech Ltd., 88 Keyuan South Road, Chengdu 610000, China
| | - Xia Xiong
- Department of Dermatology, The Affiliated Hospital, Southwest Medical University, Luzhou 646000, China
| | - Hailan Wang
- Department of Dermatology, The Affiliated Hospital, Southwest Medical University, Luzhou 646000, China
| | - Xianggui Chen
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China
| | - Pengfei Chen
- School of Food and Bioengineering, Xihua University, Chengdu 610039, China.
| | - Li Liu
- Department of Dermatology, The Affiliated Hospital, Southwest Medical University, Luzhou 646000, China.
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He LX, Deng K, Wang J, Zhang X, Wang L, Zhang HP, Xie M, Chen ZH, Zhang J, Chen-Yu Hsu A, Zhang L, Oliver BG, Wark PAB, Qin L, Gao P, Wan HJ, Liu D, Luo FM, Li WM, Wang G, Gibson PG. Clinical Subtypes of Neutrophilic Asthma: A Cluster Analysis From Australasian Severe Asthma Network. J Allergy Clin Immunol Pract 2024; 12:686-698.e8. [PMID: 37778630 DOI: 10.1016/j.jaip.2023.09.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/19/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Clinical heterogeneity may exist within asthma subtypes defined by inflammatory markers. However, the heterogeneity of neutrophilic asthma (NA) remains largely unexplored. OBJECTIVE To explore potential clusters and the stability of NA. METHODS Participants with NA from the Australasian Severe Asthma Network underwent a multidimensional assessment. They were then asked to participate in a 12-month longitudinal cohort study. We explored potential clusters using a hierarchical cluster analysis and validated the differential future risk of asthma exacerbations in the identified clusters. A decision tree analysis was developed to predict cluster assignments. Finally, the stability of prespecified clusters was examined within 1 month. RESULTS Three clusters were identified in 149 patients with NA. Cluster 1 (n = 99; 66.4%) was characterized by female-predominant nonsmokers with well-controlled NA, cluster 2 (n = 16; 10.7%) by individuals with comorbid anxiety/depressive symptoms with poorly controlled NA, and cluster 3 by older male smokers with late-onset NA. Cluster 2 had a greater proportion of participants with severe exacerbations (P = .005), hospitalization (P = .010), and unscheduled visits (P = .013) and a higher number of emergency room visits (P = .039) than that of the other two clusters. The decision tree assigned 92.6% of participants correctly. Most participants (87.5%; n = 7) in cluster 2 had a stable NA phenotype, whereas participants of clusters 1 and 3 had variable phenotypes. CONCLUSIONS We identified three clinical clusters of NA, in which cluster 2 represents an uncontrolled and stable NA subtype with an elevated risk of exacerbations. These findings have clinical implications for the management of NA.
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Affiliation(s)
- Li Xiu He
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Ke Deng
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Ji Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Xin Zhang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Wang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Ping Zhang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Min Xie
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi Hong Chen
- Shanghai Institute of Respiratory Disease, Respiratory Division of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Zhang
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Jilin University, Changchun, Jilin, China
| | - Alan Chen-Yu Hsu
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
| | - Li Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Brian G Oliver
- School of Life Sciences, University of Technology Sydney, Ultimo, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Peter A B Wark
- Priority Research Center for Healthy Lungs, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia; Department of Respiratory and Sleep Medicine, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia
| | - Ling Qin
- Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Peng Gao
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Jilin University, Changchun, Jilin, China
| | - Hua Jing Wan
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Respiratory Microbiome Laboratory, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, Sichuan, China
| | - Feng Ming Luo
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Wei Min Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Respiratory Microbiome Laboratory, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, Sichuan, China.
| | - Gang Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China.
| | - Peter Gerard Gibson
- Priority Research Center for Healthy Lungs, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia; Department of Respiratory and Sleep Medicine, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia; National Health and Medical Research Council Center for Excellence in Severe Asthma, Newcastle, New South Wales, Australia
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Zhong T, Zhang J, Chen S, Chen S, Deng K, Guan J, Yang J, Lv R, Liu Z, Liu Y, Chang P, Liu Z. MAGNESIUM SULFATE AMELIORATES HISTONE-INDUCED COAGULATION DYSFUNCTION AND LUNG DAMAGE IN MICE. Shock 2024; 61:132-141. [PMID: 37988072 DOI: 10.1097/shk.0000000000002263] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
ABSTRACT Introduction: Extracellular histones have been determined as significant mediators of sepsis, which can induce endothelial cell injury and promote coagulation activation, and ultimately contribute to multiorgan failure. Evidence suggests that magnesium sulfate (MgSO 4 ) exerts a potential coagulation-modulating activity; however, whether MgSO 4 ameliorates histone-induced coagulation dysfunction and organ damage remains unclear. Methods: To measure circulating histone levels, blood specimens were collected from septic patients and mice, and the relationship between circulating histone levels, coagulation parameters, and Mg 2+ levels in sepsis was investigated. Furthermore, to explore the possible protective effects of MgSO 4 , we established a histone-induced coagulation model in mice by intravenous histone injection. The survival rate of mice was assessed, and the histopathological damage of the lungs (including endothelial cell injury and coagulation status) was evaluated using various methods, including hematoxylin and eosin staining, immunohistochemistry, immunofluorescence, electron microscopy, and quantitative polymerase chain reaction. Results: The circulating histone levels in septic patients and mice were significantly associated with several coagulation parameters. In septic patients, histone levels correlated negatively with platelet counts and positively with prothrombin time and D-dimer levels. Similarly, in cecal ligation and puncture mice, histones correlated negatively with platelet counts and positively with D-dimer levels. Interestingly, we also observed a positive link between histones and Mg 2+ levels, suggesting that Mg 2+ with anticoagulant activity is involved in histone-mediated coagulation alterations in sepsis. Further animal experiments confirmed that MgSO 4 administration significantly improved survival and attenuated histone-mediated endothelial cell injury, coagulation dysfunction, and lung damage in mice. Conclusion: These results suggest that therapeutic targeting of histone-mediated endothelial cell injury, coagulation dysfunction, and lung damage, for example, with MgSO 4 , may be protective in septic individuals with elevated circulating histone levels.
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Affiliation(s)
- Tao Zhong
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jiaqi Zhang
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Shanjia Chen
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Sainan Chen
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Ke Deng
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jianbin Guan
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jingjing Yang
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Ronggui Lv
- Department of Intensive Care Unit, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Zhifeng Liu
- Department of Medicine Intensive Care Units, General Hospital of Southern Theatre Command of PLA, Guangzhou, Guangdong, China
| | - Yong Liu
- Department of Intensive Care Unit, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Ping Chang
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhanguo Liu
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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7
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Du M, Deng K, Cai Q, Hu S, Chen Y, Xu S, Tjakkes GHE, Ge S, Ge M, Li A. Mediating role of systemic inflammation in the association between heavy metals exposure and periodontitis risk. J Periodontol 2023. [PMID: 37986691 DOI: 10.1002/jper.23-0079] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND This study evaluated the mediating role of systemic inflammation in the association between exposure to heavy metals and periodontitis in a nationwide sample of adults. METHODS Pooled cross-sectional data from the National Health and Nutrition Examination Survey (NHANES 2009-2014) were used (n = 8993). Periodontitis was defined by a full-mouth examination and classified as no/mild and moderate/severe (mod/sev) groups. Blood and urinary heavy metal levels were investigated, including cadmium (Cd), lead (Pb), and mercury (Hg). In addition, systemic inflammation was assessed using circulatory leukocyte counts and C-reactive protein (CRP) levels. RESULTS Multivariable logistic regression analysis revealed the positive associations of blood and urinary levels of Cd and Pb with mod/sev periodontitis. In contrast,blood Hg levels did not show a significant association. The odds of having periodontitis were 1.233 and 1.311 times higher for each one-unit increment in Ln-transformed blood Cd (95% confidence interval [CI]: 1.109-1.371) and Pb (95% CI: 1.170-1.470), respectively. Mediation analysis suggested a 6.3% to 11.5% contribution of leucocyte counts in the association of blood Cd and Pb levels with periodontitis. Sensitivity analyses for urinary Cd levels yielded consistent mediating effects. However, no significant mediating effect of CRP was detected. CONCLUSION Higher exposures to Cd and Pb were positively associated with periodontitis risk. These associations might be partially mediated by the elevated levels of leukocytes rather than CRP. Further longitudinal studies are needed to elucidate the discordant results of the systemic inflammatory biomarkers.
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Affiliation(s)
- Mi Du
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China
- Clinical Research Center for Cancer of Zhejiang Province, Hangzhou, China
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Ke Deng
- Division of Periodontology and Implant Dentistry, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
| | - Qingqing Cai
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Shixian Hu
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
- Department of Gastroenterology and Hepatology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, The Netherlands
| | - Yuntao Chen
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Shulan Xu
- Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
| | - Geerten-Has E Tjakkes
- Department of Periodontology, Center for Dentistry and Oral Hygiene, UMCG, University of Groningen, Groningen, The Netherlands
| | - Shaohua Ge
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Minghua Ge
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, China
- Clinical Research Center for Cancer of Zhejiang Province, Hangzhou, China
| | - An Li
- Department of Periodontology, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China
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Liu S, Wu R, Chen L, Deng K, Ou X, Lu X, Li M, Liu C, Chen S, Fu Y, Xu A. CPSF6 regulates alternative polyadenylation and proliferation of cancer cells through phase separation. Cell Rep 2023; 42:113197. [PMID: 37777964 DOI: 10.1016/j.celrep.2023.113197] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 06/20/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023] Open
Abstract
Cancer cells usually exhibit shortened 3' untranslated regions (UTRs) due to alternative polyadenylation (APA) to promote cell proliferation and migration. Upregulated CPSF6 leads to a systematic prolongation of 3' UTRs, but CPSF6 expression in tumors is typically higher than that in healthy tissues. This contradictory observation suggests that it is necessary to investigate the underlying mechanism by which CPSF6 regulates APA switching in cancer. Here, we find that CPSF6 can undergo liquid-liquid phase separation (LLPS), and elevated LLPS is associated with the preferential usage of the distal poly(A) sites. CLK2, a kinase upregulated in cancer cells, destructs CPSF6 LLPS by phosphorylating its arginine/serine-like domain. The reduction of CPSF6 LLPS can lead to a shortened 3' UTR of cell-cycle-related genes and accelerate cell proliferation. These results suggest that CPSF6 LLPS, rather than its expression level, may be responsible for APA regulation in cancer cells.
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Affiliation(s)
- Susu Liu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Runze Wu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Liutao Chen
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Ke Deng
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Xin Ou
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Xin Lu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Mengxia Li
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Chao Liu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Shangwu Chen
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Yonggui Fu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China.
| | - Anlong Xu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China; School of Life Science, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
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Pei Z, Deng K, Xu C, Zhang S. The molecular regulatory mechanisms of meiotic arrest and resumption in Oocyte development and maturation. Reprod Biol Endocrinol 2023; 21:90. [PMID: 37784186 PMCID: PMC10544615 DOI: 10.1186/s12958-023-01143-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 09/20/2023] [Indexed: 10/04/2023] Open
Abstract
In human female primordial germ cells, the transition from mitosis to meiosis begins from the fetal stage. In germ cells, meiosis is arrested at the diplotene stage of prophase in meiosis I (MI) after synapsis and recombination of homologous chromosomes, which cannot be segregated. Within the follicle, the maintenance of oocyte meiotic arrest is primarily attributed to high cytoplasmic concentrations of cyclic adenosine monophosphate (cAMP). Depending on the specific species, oocytes can remain arrested for extended periods of time, ranging from months to even years. During estrus phase in animals or the menstrual cycle in humans, the resumption of meiosis occurs in certain oocytes due to a surge of luteinizing hormone (LH) levels. Any factor interfering with this process may lead to impaired oocyte maturation, which in turn affects female reproductive function. Nevertheless, the precise molecular mechanisms underlying this phenomenon has not been systematically summarized yet. To provide a comprehensive understanding of the recently uncovered regulatory network involved in oocyte development and maturation, the progress of the cellular and molecular mechanisms of oocyte nuclear maturation including meiosis arrest and meiosis resumption is summarized. Additionally, the advancements in understanding the molecular cytoplasmic events occurring in oocytes, such as maternal mRNA degradation, posttranslational regulation, and organelle distribution associated with the quality of oocyte maturation, are reviewed. Therefore, understanding the pathways regulating oocyte meiotic arrest and resumption will provide detailed insight into female reproductive system and provide a theoretical basis for further research and potential approaches for novel disease treatments.
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Affiliation(s)
- Zhenle Pei
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China
| | - Ke Deng
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
- Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai, 200032, China.
| | - Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
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Peng X, Gan L, Zhai W, Chen X, Deng K, Duan W, Li W, Zeng Q. Two-dimensional self-assembly and co-assembly of two tetracarboxylic acid derivatives investigated by STM. Nanoscale Adv 2023; 5:4752-4757. [PMID: 37705796 PMCID: PMC10496876 DOI: 10.1039/d3na00389b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/03/2023] [Indexed: 09/15/2023]
Abstract
In this work, the two-dimensional self-assembly and co-assembly behaviors of two tetracarboxylic acid derivatives (H4BDETP and H4BTB) were investigated by scanning tunneling microscopy (STM). H4BDETP molecules self-assembled into linear nanostructures, and H4BTB molecules formed lamellar and tetragonal nanostructures. The formation of a H4BDETP/H4BTB co-assembly nanostructure was closely related to the deposition sequence of H4BDETP and H4BTB on highly oriented pyrolytic graphite (HOPG). The introduction of H4BTB into the self-assembly system of H4BDETP resulted in the emergence of the H4BDETP/H4BTB nanostructure, while the addition of H4BDETP had no effect on the self-assembly system of H4BTB and a H4BDETP/H4BTB co-assembly nanostructure was not obtained.
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Affiliation(s)
- Xuan Peng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST) Beijing 100190 China
- School of Science, Nanchang Institute of Technology Nanchang 330099 China
| | - Linlin Gan
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST) Beijing 100190 China
- Department of Chemistry, School of Science, Beijing Jiaotong University Beijing 100044 China
| | - Wenchao Zhai
- School of Science, Nanchang Institute of Technology Nanchang 330099 China
| | - Xiaoling Chen
- School of Science, Nanchang Institute of Technology Nanchang 330099 China
| | - Ke Deng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST) Beijing 100190 China
| | - Wubiao Duan
- Department of Chemistry, School of Science, Beijing Jiaotong University Beijing 100044 China
| | - Wei Li
- School of Science, Nanchang Institute of Technology Nanchang 330099 China
| | - Qingdao Zeng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST) Beijing 100190 China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences Beijing 100049 China
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Deng K, Zonta F, Yang H, Pelekos G, Tonetti MS. Development of a machine learning multiclass screening tool for periodontal health status based on non-clinical parameters and salivary biomarkers. J Clin Periodontol 2023. [PMID: 37697491 DOI: 10.1111/jcpe.13856] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 09/13/2023]
Abstract
AIM To develop a multiclass non-clinical screening tool for periodontal disease and assess its accuracy for differentiating periodontal health, gingivitis and different stages of periodontitis. MATERIALS AND METHODS A cross-sectional diagnostic study on a convenience sample of 408 consecutive subjects was conducted by applying three non-clinical index tests estimating different features of the periodontal health-disease spectrum: a self-administered questionnaire, an oral rinse activated matrix metalloproteinase-8 (aMMP-8) point-of-care test (POCT) and determination of gingival bleeding on brushing (GBoB). Full-mouth periodontal examination was the reference standard. The periodontal diagnosis was made on the basis of the 2017 classification of periodontal diseases and conditions. Logistic regression and random forest (RF) analyses were performed to predict various periodontal diagnoses, and the accuracy measures were assessed. RESULTS Four-hundred and eight subjects were enrolled in this study, including those with periodontal health (16.2%), gingivitis (15.2%) and stage I (15.9%), stage II (15.9%), stage III (29.7%) and stage IV (7.1%) periodontitis. Nine predictors, namely 'gum disease' (Q1), 'a rating of gum/teeth health' (Q2), 'tooth cleaning' (Q3a), the symptom of 'loose teeth' (Q4), 'use of floss' (Q7), aMMP-8 POCT, self-reported GBoB, haemoglobin and age, resulted in high levels of accuracy in the RF classifier. High accuracy (area under the ROC curve > 0.94) was observed for the discrimination of three (health, gingivitis and periodontitis) and six classes (health, gingivitis, stages I, II, III and IV periodontitis). Confusion matrices showed that the misclassification of a periodontitis case as health or gingivitis was less than 1%-2%. CONCLUSIONS Machine learning-based classifiers, such as RF analyses, are promising tools for multiclass assessment of periodontal health and disease in a non-clinical setting. Results need to be externally validated in appropriately sized independent samples (ClinicalTrials.gov NCT03928080).
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Affiliation(s)
- Ke Deng
- Shanghai PerioImplant Innovation Center, Department of Oral and Maxillofacial Implantology, National Clinical Research Center of Stomatology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Francesco Zonta
- Department of Biological Sciences, Xi'An Jiaotong Liverpool University, Suzhou, China
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China
| | - Huan Yang
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China
| | - George Pelekos
- Department of Periodontology and Implant Dentistry, Faculty of Dentistry, University of Hong Kong, Hong Kong, China
| | - Maurizio S Tonetti
- Shanghai PerioImplant Innovation Center, Department of Oral and Maxillofacial Implantology, National Clinical Research Center of Stomatology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- European Research Group on Periodontology, Brienz, Switzerland
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12
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Deng K, Yu JL, Feng YJ, Huang K, Wu GF. Case report: Inspiration from a rare fatal heart perforation after percutaneous vertebroplasty. Front Surg 2023; 10:1227056. [PMID: 37732163 PMCID: PMC10507243 DOI: 10.3389/fsurg.2023.1227056] [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: 05/22/2023] [Accepted: 08/23/2023] [Indexed: 09/22/2023] Open
Abstract
The principal benefit of employing percutaneous vertebroplasty (PVP) for managing osteoporotic vertebral compression fractures lies in its capacity to facilitate early mobilization in elderly patients, thereby effectively avoiding the potential catastrophic complications associated with prolonged bedridden states. However, bone cement leakage, as the most common complication of PVP, may have fatal consequences. Here, we report a case involving an 85-year-old male patient with L1 vertebral compression fracture who underwent PVP at our hospital and was discharged on the same day of the surgical intervention. Subsequently, the patient experienced symptoms of chest tightness and palpitations. Cardiac ultrasound examination revealed pericardial effusion, while pulmonary computed tomographic angiography (CTA) demonstrated a strip high-density shadow in the right ventricular area. Finally, it was determined that the perforation of the right ventricular wall was caused by bone cement embolism. Through this comprehensive case report, we aim to deepen the understanding of orthopedic doctors on the importance of preventing bone cement leakage.
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Affiliation(s)
- Ke Deng
- Department of Orthopaedics, The First Affiliated Hospital of Yangtze University, Jingzhou, China
| | - Jia-Lin Yu
- Department of Orthopaedics, The First Affiliated Hospital of Yangtze University, Jingzhou, China
| | - Ye-Jun Feng
- Department of Orthopaedics, The First Affiliated Hospital of Yangtze University, Jingzhou, China
| | - Kui Huang
- Department of Orthopaedics, The First Affiliated Hospital of Yangtze University, Jingzhou, China
| | - Guo-Feng Wu
- Department of Orthopedics, South University of Science and Technology Hospital, Shenzhen, China
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13
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Wang H, Breadner DA, Deng K, Niu J. CircRHOT1 restricts gastric cancer cell ferroptosis by epigenetically regulating GPX4. J Gastrointest Oncol 2023; 14:1715-1725. [PMID: 37720433 PMCID: PMC10502555 DOI: 10.21037/jgo-23-550] [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: 07/01/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
Background Gastric cancer (GC) is a malignant form of cancer that severely threatens human health. Despite developments on treatment, the prognosis of patients with advanced GC remains poor. Hence, the identification of detailed molecular mechanisms and potential therapeutic targets is of great importance for GC study. In recent years, circular RNAs have been widely reported to be important regulators in cancer initiation and progression. This study sought to evaluate the function of circRHOT1 in GC development. Methods Clinical specimens were collected from patients with GC to detect the level of circRHOT1. The expression of circRHOT1 in several GC cell lines was detected by quantitative real-time polymerase chain reaction. Cell Counting Kit 8 (CCK-8), colony formation, and xenograft tumor growth experiments were performed to check cell proliferation. Cell ferroptosis was determined by the levels of intracellular iron, Fe2+ (Divalent iron ion), lipid reactive oxygen species, malondialdehyde, and glutathione. The protein levels of SLC7A11 and glutathione peroxidase-4 (GPX4) were detected by western blot assays. The epigenetic regulation of the GPX4 gene was analyzed by chromatin immunoprecipitation assays. Results CircRHOT1 was more highly expressed in the GC tumors than the adjacent non-tumor tissues. The knockdown of circRHOT1 significantly suppressed cell growth (P<0.05) and stimulated the ferroptosis of the GC cells (P<0.05). CircRHOT1 recruited KAT5 (Acetyltransferase Tip60) to promote the acetylation of lysine 27 on histone H3 protein subunit (H3k27Ac) of the GPX4 gene and stimulated gene transcription. The overexpression of KAT5 and GPX4 notably reversed the anti-proliferation effect of circRHOT1 depletion (P<0.05). Conclusions CircRHOT1 promoted GC progression and suppressed ferroptosis by recruiting KAT5 to initiate GPX4 transcription. Our findings showed that cirRHOT1 is a promising target for GC treatment.
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Affiliation(s)
- Huan Wang
- Department of Medical Oncology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Daniel Adam Breadner
- Department of Oncology, Schulich School of Medicine and Dentistry at Western University, London, ON, Canada
| | - Ke Deng
- Department of General Surgery, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Jing Niu
- Health Management Center, Qilu Hospital of Shandong University (Qingdao), Qingdao, China
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14
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Tao JC, Yu D, Shao W, Zhou DR, Wang Y, Hou SQ, Deng K, Lin N. Interactions between microglia and glioma in tumor microenvironment. Front Oncol 2023; 13:1236268. [PMID: 37700840 PMCID: PMC10493873 DOI: 10.3389/fonc.2023.1236268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/14/2023] [Indexed: 09/14/2023] Open
Abstract
Gliomas, the most prevalent primary tumors in the central nervous system, are marked by their immunosuppressive properties and consequent poor patient prognosis. Current evidence emphasizes the pivotal role of the tumor microenvironment in the progression of gliomas, largely attributed to tumor-associated macrophages (brain-resident microglia and bone marrow-derived macrophages) that create a tumor microenvironment conducive to the growth and invasion of tumor cells. Yet, distinguishing between these two cell subgroups remains a challenge. Thus, our review starts by analyzing the heterogeneity between these two cell subsets, then places emphasis on elucidating the complex interactions between microglia and glioma cells. Finally, we conclude with a summary of current attempts at immunotherapy that target microglia. However, given that independent research on microglia is still in its initial stages and has many shortcomings at the present time, we express our related concerns and hope that further research will be carried out to address these issues in the future.
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Affiliation(s)
- Jin-Cheng Tao
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Dong Yu
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Wei Shao
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Dong-Rui Zhou
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Yu Wang
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Shi-Qiang Hou
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
| | - Ke Deng
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Lin
- Department of Neurosurgery, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People’s Hospital of Chuzhou, Chuzhou, Anhui, China
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15
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Yang Y, Ren H, Zhang M, Zhou S, Mu X, Li X, Wang Z, Deng K, Li M, Ma P, Li Z, Hao X, Li W, Chen J, Wang C, Ding D. H 2 formation via non-Born-Oppenheimer hydrogen migration in photoionized ethane. Nat Commun 2023; 14:4951. [PMID: 37587115 PMCID: PMC10432507 DOI: 10.1038/s41467-023-40628-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 08/03/2023] [Indexed: 08/18/2023] Open
Abstract
Neutral H2 formation via intramolecular hydrogen migration in hydrocarbon molecules plays a vital role in many chemical and biological processes. Here, employing cold target recoil ion momentum spectroscopy (COLTRIMS) and pump-probe technique, we find that the non-adiabatic coupling between the ground and excited ionic states of ethane through conical intersection leads to a significantly high yield of neutral H2 fragment. Based on the analysis of fingerprints that are sensitive to orbital symmetry and electronic state energies in the photoelectron momentum distributions, we tag the initial electronic population of both the ground and excited ionic states and determine the branching ratios of H2 formation channel from those two states. Incorporating theoretical simulation, we established the timescale of the H2 formation to be ~1300 fs. We provide a comprehensive characterization of H2 formation in ionic states of ethane mediated by conical intersection and reveals the significance of non-adiabatic coupling dynamics in the intramolecular hydrogen migration.
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Affiliation(s)
- Yizhang Yang
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Hao Ren
- Institute of Theoretical Physics and Department of Physics, State Key Laboratory of Quantum Optics and Quantum Optics Devices, Collaborative Innovation Center of Extreme Optics, Shanxi University, 030006, Taiyuan, China
| | - Ming Zhang
- State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-Optoelectronics, School of Physics, Peking University, 100871, Beijing, China
| | - Shengpeng Zhou
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Xiangxu Mu
- State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-Optoelectronics, School of Physics, Peking University, 100871, Beijing, China
| | - Xiaokai Li
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Zhenzhen Wang
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Ke Deng
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Mingxuan Li
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Pan Ma
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China
| | - Zheng Li
- State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-Optoelectronics, School of Physics, Peking University, 100871, Beijing, China.
- Collaborative Innovation Center of Extreme Optics, Shanxi University, 030006, Taiyuan, Shanxi, China.
- Peking University Yangtze Delta Institute of Optoelectronics, 226010, Nantong, Jiangsu, China.
| | - Xiaolei Hao
- Institute of Theoretical Physics and Department of Physics, State Key Laboratory of Quantum Optics and Quantum Optics Devices, Collaborative Innovation Center of Extreme Optics, Shanxi University, 030006, Taiyuan, China.
| | - Weidong Li
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, and College of Engineering Physics, Shenzhen Technology University, 518118, Shenzhen, China
| | - Jing Chen
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, and College of Engineering Physics, Shenzhen Technology University, 518118, Shenzhen, China
- Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences, Department of Modern Physics, University of Science and Technology of China, 230026, Hefei, China
| | - Chuncheng Wang
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China.
| | - Dajun Ding
- Institute of Atomic and Molecular Physics and Jilin Provincial Key Laboratory of Applied Atomic and Molecular Spectroscopy, Jilin University, 130012, Changchun, China.
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16
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Wang G, He Y, Guo Q, Zhao Y, He J, Chen Y, Chen W, Zhou Y, Peng Z, Deng K, Guan J, Xie W, Chang P, Liu Z. Continuous renal replacement therapy with the adsorptive oXiris filter may be associated with the lower 28-day mortality in sepsis: a systematic review and meta-analysis. Crit Care 2023; 27:275. [PMID: 37424026 PMCID: PMC10331993 DOI: 10.1186/s13054-023-04555-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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/28/2023] [Indexed: 07/11/2023] Open
Abstract
BACKGROUND The oXiris is a novel filter for continuous renal replacement therapy (CRRT) featuring an adsorption coating to adsorb endotoxins and remove inflammatory mediators. Given that no consensus has been reached on its potential benefits in treating sepsis, a meta-analysis was conducted to assess its impact on the clinical outcomes of this patient population. METHODS Eleven databases were retrieved to find relevant observational studies and randomized controlled trials. The Newcastle-Ottawa Scale and the Cochrane Risk of Bias Tool were used to assess the quality of the included studies. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) process was employed to assess the certainty of evidence. The 28-day mortality was the primary outcome. Secondary outcomes were 7-, 14-, and 90-day mortality, length of intensive care unit (ICU) and hospital stay, ICU and hospital mortality, norepinephrine (NE) dose, interleukin-6 (IL-6) and lactate levels, and Sequential Organ Failure Assessment (SOFA) score. RESULTS The meta-analysis, pooling data from 14 studies, involving 695 patients, showed significant reductions in 28-day mortality [odds ratio (OR) 0.53; 95% confidence interval (CI) 0.36-0.77, p = 0.001] and length of ICU stay [weighted mean difference (WMD) - 1.91; 95% CI - 2.56 to - 1.26, p < 0.001)] in patients with sepsis using the oXiris filter compared to other filters. Besides, the SOFA score, NE dose, IL-6 and lactate levels, and 7- and 14-day mortalities were lower in the oXiris group. However, the 90-day mortality, ICU and hospital mortality, and length of hospital stay were comparable. The quality assessment of the ten observational studies indicated intermediate to high quality (average Newcastle-Ottawa score: 7.8). However, all four randomized controlled trials (RCTs) had an unclear risk of bias. The evidence for all outcomes had a low or very low level of certainty because the original study design was mainly observational studies and the RCTs included had an unclear risk of bias and a small sample size. CONCLUSION The treatment with the oXiris filter during CRRT in sepsis patients may be associated with lower 28-, 7-, and 14-day mortalities, lactate levels, SOFA score, NE dose, and shorter length of ICU stay. However, due to the low or very low quality of evidence, the effectiveness of oXiris filters was still uncertain. Besides, no significant difference was observed for the 90-day mortality, ICU and hospital mortality, and length of hospital stay.
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Affiliation(s)
- Guizhong Wang
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Yuxuan He
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Qingling Guo
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Ying Zhao
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Jie He
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Yue Chen
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Weijia Chen
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Yi Zhou
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Zichong Peng
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Ke Deng
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Jianbin Guan
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Wenting Xie
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China
| | - Ping Chang
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China.
| | - Zhanguo Liu
- Department of Critical Care Medicine, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, 253 Gongye Rd, Guangzhou, 510282, China.
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Sáenz-Ravello G, Matamala L, Cisternas P, Gamonal J, Hernández P, Santos NCD, Deng K, Baeza M. Association between the Mediterranean Diet Index and self-reported Gingival Health Status Indicators in a population of Chilean adults: a cross-sectional study. J Appl Oral Sci 2023; 31:e20230100. [PMID: 37403879 DOI: 10.1590/1678-7757-2023-0100] [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] [Received: 03/21/2023] [Accepted: 05/30/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Despite the recognized impact of diet on non-communicable diseases, the association between the Mediterranean diet and periodontal diseases is still uncertain. This study aimed to determine the association between adherence to the Mediterranean Diet Index (MDI) and self-reported gingival health status in Chilean adults, exploring the feasibility of using validated web-based survey questionnaires. METHODOLOGY Cross-sectional data were collected from a representative sample of a population of Chilean adults (18-60 years old) using a low-cost and time-saving methodology. By the PsyToolkit platform, anonymous survey data were downloaded and analyzed in bivariate (crude) and backward stepwise selection multivariate logistic regression models adjusted for sociodemographic determinants, smoking, and dental attendance using STATA 17. Odds ratios (OR) [95% confidence intervals] were estimated. RESULTS In total, 351 complete statistical data were mostly obtained from female university students who had never smoked and reported having visited a dentist in the previous year. Multivariate regression models showed an association between MDI and very good/good gingival health status (OR 1.18 [95% CI 1.04-1.34], p=0.013), absence of bleeding on toothbrushing (OR 1.12 [95% CI 1.01-1.25], p=0.035), and absence of clinical signs of gingival inflammation (OR 1.24 [95% CI 1.10-1.40], p<0.001), after controlling for age, sex, educational level, smoking, and dental attendance. CONCLUSIONS We associated adherence to the Mediterranean diet with better self-reported gingival health status in a population of Chilean adults in an entirely web-based research environment. Longitudinal studies with random sampling are required to establish the effect of diet on gingival and periodontal health. Nevertheless, this evidence could contribute to the design of low-cost surveillance programs to reduce the burden of periodontal disease and related "common risk factors".
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Affiliation(s)
- Gustavo Sáenz-Ravello
- Universidad de Chile, Facultad de Odontología, Centro de Epidemiologia y Vigilancia de las Enfermedades Orales (CEVEO), Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Departmento de Odontología Conservadora, Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Santiago, Chile
| | - Loreto Matamala
- Universidad de Chile, Facultad de Odontología, Departmento de Odontología Conservadora, Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Santiago, Chile
| | | | - Jorge Gamonal
- Universidad de Chile, Facultad de Odontología, Centro de Epidemiologia y Vigilancia de las Enfermedades Orales (CEVEO), Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Departmento de Odontología Conservadora, Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Santiago, Chile
| | - Patricia Hernández
- Universidad de Chile, Facultad de Odontología, Departmento de Odontología Conservadora, Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Santiago, Chile
| | - Nidia Castro Dos Santos
- Universidade Guarulhos, Divisão de Pesquisa Odontológica, Guarulhos, SP, Brasil
- The Forsyth Institute, Cambridge, MA, United States
| | - Ke Deng
- The University of Hong Kong, Faculty of Dentistry, Division of Periodontology and Implant Dentistry, Hong Kong SAR, China
| | - Mauricio Baeza
- Universidad de Chile, Facultad de Odontología, Centro de Epidemiologia y Vigilancia de las Enfermedades Orales (CEVEO), Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Departmento de Odontología Conservadora, Santiago, Chile
- Universidad de Chile, Facultad de Odontología, Santiago, Chile
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Liang J, Cheng WY, Li JL, Xue XC, Deng K, Liang CF, Du L, Zhang Q, Liu W. Distribution of hydrogen isotope in the soil around the Qinshan Nuclear Power Plant. J Environ Radioact 2023; 263:107170. [PMID: 37031627 DOI: 10.1016/j.jenvrad.2023.107170] [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] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/20/2023] [Accepted: 03/30/2023] [Indexed: 05/06/2023]
Abstract
When a different types of reactor are operating at the same area and the same period of time, released radionuclides are hard to follow in the environment. In general, isotopic techniques can be used for source localization. To obtain the distribution of hydrogen isotope in soil, eight sampling points were selected along the local dominant wind direction with different distances away from Qinshan Nuclear Power Plant, and soil samples at different depths (0-2, 2-5, 5-10, 10-20, 20-30 cm) were collected in December 2019 and December 2020, respectively. The concentrations of hydrogen isotopes were measured in the soil samples at different depth. The spatial distribution of tritium and deuterium in the surface soil was related to soil properties and the distance from the nuclear power plant. It was found that tritium and deuterium are generally enriched in the upper layer. Determination of the deuterium concentration in the environment may be a new way to trace the released tritium from the reactors.
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Affiliation(s)
- Jie Liang
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China; University of Chinese Academy of Science, No.19(A) Yuquan Road, 100049, Beijing, China
| | - Wen-Yu Cheng
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China; University of Chinese Academy of Science, No.19(A) Yuquan Road, 100049, Beijing, China
| | - Jing-Lin Li
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China; University of Chinese Academy of Science, No.19(A) Yuquan Road, 100049, Beijing, China
| | - Xiao-Chong Xue
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China; University of Chinese Academy of Science, No.19(A) Yuquan Road, 100049, Beijing, China
| | - Ke Deng
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China
| | - Chao-Fei Liang
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China; University of Chinese Academy of Science, No.19(A) Yuquan Road, 100049, Beijing, China
| | - Lin Du
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China
| | - Qin Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China.
| | - Wei Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Science, No.2019 Jialuo Road, 201800, Shanghai, China; University of Chinese Academy of Science, No.19(A) Yuquan Road, 100049, Beijing, China.
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Deng K, Du D, Fan D, Pei Z, Zhang S, Xu C. Growth Hormone Promotes Oocyte Maturation In Vitro by Protecting Mitochondrial Function and Reducing Apoptosis. Reprod Sci 2023; 30:2219-2230. [PMID: 36694082 DOI: 10.1007/s43032-022-01147-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 12/08/2022] [Indexed: 01/26/2023]
Abstract
Some studies have been conducted to explore the influence of growth hormone (GH) on oocytes in in vitro maturation (IVM); however, previous studies reporting showed different results, and the specific mechanisms were not clear. In the present study, GH supplementation improved oocyte maturation rate. The rate of germinal vesicle breakdown (GVBD) in the GH group was 83.9%, which was significantly higher than that (72.1%) in the control group (p = 0.001). The maturation rate of the GH group (79.2%) was significantly higher than that (65.4%) of the control group (p = 0.000). The fertilization (68.6 vs. 59.3%) and blastocyst (30 vs. 25.3%) rates showed an increasing trend in the GH group compared to those in controls. The dynamic parameters of nuclear maturation of oocytes were recorded by time-lapse monitoring system; oocytes in the GH group completed nuclear maturation earlier than did those in the control group. GH reduced cAMP levels to promote oocyte maturation. Single-cell RNA sequencing analysis revealed that the majority of differentially expressed genes (DEGs) involved in mitochondrial oxidative phosphorylation was upregulated in the GH group. Furthermore, the mitochondrial membrane potential of oocytes significantly increased, and the levels of intracellular reactive oxygen species (ROS) and Ca2+ largely decreased in the GH group. Finally, single-oocyte transcriptome analysis indicated that GH decreased the expression of apoptosis-related genes in oocytes. GH treatment reduced the expression of γH2AX and caspase-3. Therefore, GH improves the developmental potential of immature oocytes by reducing cAMP levels more rapidly within 0.5 h, protecting mitochondrial function, and reducing DNA damage and apoptosis.
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Affiliation(s)
- Ke Deng
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China
| | - Danfeng Du
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China
| | - Dengxuan Fan
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China
| | - Zhenle Pei
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China
| | - Shuo Zhang
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
| | - Congjian Xu
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
- Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai, 200032, China.
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20
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Shen C, Pei M, Wang X, Zhao Y, Wang L, Tan J, Deng K, Li N. Robust estimation of dementia prevalence from two-phase surveys with non-responders via propensity score stratification. BMC Med Res Methodol 2023; 23:130. [PMID: 37237383 DOI: 10.1186/s12874-023-01954-0] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Missing diagnoses are common in cross-sectional studies of dementia, and this missingness is usually related to whether the respondent has dementia or not. Failure to properly address this issue can lead to underestimation of prevalence. To obtain accurate prevalence estimates, we propose different estimation methods within the framework of propensity score stratification (PSS), which can significantly reduce the negative impact of non-response on prevalence estimates. METHODS To obtain accurate estimates of dementia prevalence, we calculated the propensity score (PS) of each participant to be a non-responder using logistic regression with demographic information, cognitive tests and physical function variables as covariates. We then divided all participants into five equal-sized strata based on their PS. The stratum-specific prevalence of dementia was estimated using simple estimation (SE), regression estimation (RE), and regression estimation with multiple imputation (REMI). These stratum-specific estimates were integrated to obtain an overall estimate of dementia prevalence. RESULTS The estimated prevalence of dementia using SE, RE, and REMI with PSS was 12.24%, 12.28%, and 12.20%, respectively. These estimates showed higher consistency than the estimates obtained without PSS, which were 11.64%, 12.33%, and 11.98%, respectively. Furthermore, considering only the observed diagnoses, the prevalence in the same group was found to be 9.95%, which is significantly lower than the prevalence estimated by our proposed method. This suggested that prevalence estimates obtained without properly accounting for missing data might underestimate the true prevalence. CONCLUSION Estimating the prevalence of dementia using the PSS provides a more robust and less biased estimate.
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Affiliation(s)
- Chong Shen
- Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, People's Republic of China
| | - Minyue Pei
- Research Center of Clinical Epidemiology, Peking University Third Hospital, No. 49, Huayuan North Road, Haidian District, Beijing, 100191, People's Republic of China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, People's Republic of China
| | - Xiaoxiao Wang
- Research Center of Clinical Epidemiology, Peking University Third Hospital, No. 49, Huayuan North Road, Haidian District, Beijing, 100191, People's Republic of China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, People's Republic of China
| | - Yiming Zhao
- Research Center of Clinical Epidemiology, Peking University Third Hospital, No. 49, Huayuan North Road, Haidian District, Beijing, 100191, People's Republic of China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, People's Republic of China
| | - Luning Wang
- Geriatric Neurology Department of The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fuxing Road, Haidian District, Beijing, 100039, People's Republic of China
| | - Jiping Tan
- Geriatric Neurology Department of The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28, Fuxing Road, Haidian District, Beijing, 100039, People's Republic of China.
| | - Ke Deng
- Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, People's Republic of China.
| | - Nan Li
- Research Center of Clinical Epidemiology, Peking University Third Hospital, No. 49, Huayuan North Road, Haidian District, Beijing, 100191, People's Republic of China.
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, People's Republic of China.
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21
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Ren J, Zhang L, Wang Q, Wang L, Shi Y, Zhou H, Wang A, Zhao D, Hao T, Zhang L, Deng K, Zhang J, Tanigaki K, Tao C. Visualizing Atomic Quantum Defects in Ultrathin 1T-PtTe 2. J Phys Chem Lett 2023; 14:4554-4559. [PMID: 37159549 DOI: 10.1021/acs.jpclett.3c00675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Defects are of significant importance to determine and improve the distinct properties of 2D materials, such as electronic, optical, and catalytic performance. In this report, we observe four types of point defects in atomically thin flakes of 1T-PtTe2 by using low-temperature scanning tunnelling microscopy and spectroscopy (STM/S). Through the combination of STM imaging and simulations, such defects are identified as a single tellurium vacancy from each side of the top PtTe2 layer and a single platinum vacancy from the topmost and next layer. The density functional theory (DFT) calculations reveal that the platinum vacancies from both the monolayer and bilayer exhibit a local magnetic moment. In bilayer PtTe2, the interlayer coulomb screening effect reduces the local magnetic momentum of the single platinum vacancy. Our research provides meaningful guidance for further experiments about the effects of intrinsic defects on potential functions of thin 1T-PtTe2, such as catalysis and spintronic applications.
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Affiliation(s)
- Junhai Ren
- Beijing Academy of Quantum Information Sciences, 100193 Beijing, China
| | - Lili Zhang
- Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China
| | - Qiuyu Wang
- Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China
| | - Le Wang
- Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
- International Quantum Academy, Shenzhen 518048, China
| | - Yongliang Shi
- Center for Spintronics and Quantum Systems, State Key Laboratory for Mechanical Behavior of Materials, School of Materials Science and Engineering, Xi'an Jiaotong University, Xi'an, Shanxi 710049, China
| | - Huaxue Zhou
- Beijing Academy of Quantum Information Sciences, 100193 Beijing, China
| | - Aiwei Wang
- CAS Key Laboratory of Nanophotonic Materials and Devices, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Dapeng Zhao
- Beijing Academy of Quantum Information Sciences, 100193 Beijing, China
| | - Tingting Hao
- Beijing Academy of Quantum Information Sciences, 100193 Beijing, China
| | - Liguo Zhang
- Beijing Academy of Quantum Information Sciences, 100193 Beijing, China
| | - Ke Deng
- Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
- International Quantum Academy, Shenzhen 518048, China
| | - Jinxing Zhang
- Department of Physics, Beijing Normal University, Beijing 100875, China
| | - Katsumi Tanigaki
- Beijing Academy of Quantum Information Sciences, 100193 Beijing, China
| | - Chenggang Tao
- Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, United States
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22
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Xiao Y, Zhou J, Cheng Q, Yang J, Chen B, Zhang T, Xu L, Xu B, Ren Z, Liu Z, Shen C, Wang C, Liu H, Li X, Li R, Yu L, Guan D, Zhang W, Wang J, Hou L, Deng K, Bai Y, Xu B, Dou D, Gong P. Global age-structured spatial modeling for emerging infectious diseases like COVID-19. PNAS Nexus 2023; 2:pgad127. [PMID: 37143866 PMCID: PMC10153731 DOI: 10.1093/pnasnexus/pgad127] [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] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/27/2023] [Accepted: 03/30/2023] [Indexed: 05/06/2023]
Abstract
Modeling the global dynamics of emerging infectious diseases (EIDs) like COVID-19 can provide important guidance in the preparation and mitigation of pandemic threats. While age-structured transmission models are widely used to simulate the evolution of EIDs, most of these studies focus on the analysis of specific countries and fail to characterize the spatial spread of EIDs across the world. Here, we developed a global pandemic simulator that integrates age-structured disease transmission models across 3,157 cities and explored its usage under several scenarios. We found that without mitigations, EIDs like COVID-19 are highly likely to cause profound global impacts. For pandemics seeded in most cities, the impacts are equally severe by the end of the first year. The result highlights the urgent need for strengthening global infectious disease monitoring capacity to provide early warnings of future outbreaks. Additionally, we found that the global mitigation efforts could be easily hampered if developed countries or countries near the seed origin take no control. The result indicates that successful pandemic mitigations require collective efforts across countries. The role of developed countries is vitally important as their passive responses may significantly impact other countries.
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Affiliation(s)
- Yixiong Xiao
- Business Intelligence Lab, Baidu Research, Beijing 100193, China
| | - Jingbo Zhou
- Business Intelligence Lab, Baidu Research, Beijing 100193, China
| | - Qu Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Jun Yang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Bin Chen
- Division of Landscape Architecture, The University of Hong Kong, Hong Kong 999007, China
| | - Tao Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Lei Xu
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Bo Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Zhehao Ren
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Zhaoyang Liu
- Center for Statistical Science, Tsinghua University, Beijing 100084, China
- Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
| | - Chong Shen
- Center for Statistical Science, Tsinghua University, Beijing 100084, China
- Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
| | - Che Wang
- Center for Statistical Science, Tsinghua University, Beijing 100084, China
- Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
| | - Han Liu
- Business Intelligence Lab, Baidu Research, Beijing 100193, China
| | - Xiaoting Li
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Ruiyun Li
- School of Public Health (SPH), Nanjing Medical University, Nanjing 211166, China
| | - Le Yu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Dabo Guan
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Wusheng Zhang
- Department of Computer Science and Technology, Institute of High Performance Computing, Tsinghua University, Beijing 100084, China
| | - Jie Wang
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
- AI for Earth Laboratory, Cross-Strait Institute, Tsinghua University, Beijing 100084, China
| | - Lin Hou
- Center for Statistical Science, Tsinghua University, Beijing 100084, China
- Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
| | - Ke Deng
- Center for Statistical Science, Tsinghua University, Beijing 100084, China
- Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
| | - Yuqi Bai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Bing Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Dejing Dou
- Business Intelligence Lab, Baidu Research, Beijing 100193, China
| | - Peng Gong
- To whom correspondence should be addressed:
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23
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Yang S, Chen J, Li A, Deng K, Li P, Xu S. Accuracy of autonomous robotic surgery for single-tooth implant placement: A case series. J Dent 2023; 132:104451. [PMID: 36781099 DOI: 10.1016/j.jdent.2023.104451] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/02/2023] [Accepted: 02/08/2023] [Indexed: 02/13/2023] Open
Abstract
OBJECTIVES This study aimed to investigate the accuracy of the autonomous robotic computer-assisted implant surgery (r-CAIS) for single-tooth implant placement. METHODS Patients with a single missing tooth were enrolled for the autonomous robotic implant surgery. The patients underwent a cone-beam computed tomography (CBCT) scan with a positioning marker. Virtual preoperative implant placement and a drilling plan were created before surgery. The robotic system automatically performed the implant osteotomy and placement intraoperatively under the surgeon's supervision. A postoperative CBCT scan was performed to evaluate the deviations between the planned and placed implants. RESULTS Ten patients with single dental implant placement were enrolled. No adverse surgical events and postoperative complications (i.e., infection and early implant failure) were reported. The autonomous robotic implant surgery exhibited a mean overall coronal deviation of 0.74 mm (95% CI: 0.53 to 0.94 mm), a mean overall apical deviation of 0.73 mm (95% CI: 0.53 to 0.93 mm), and an angular deviation of 1.11° (95% CI: 0.78 to 1.44°), respectively. CONCLUSIONS The high accuracy of autonomous r-CAIS technology in single-tooth implant placement was attributed to the control of the angular deviation and axial errors. CLINICAL SIGNIFICANCE The main findings of this study provide significant evidence to support the autonomous robotic implant surgery system as a potential alternative in dental implant surgery.
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Affiliation(s)
- Shuo Yang
- Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, China
| | - Jiahao Chen
- Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, China
| | - An Li
- Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, China
| | - Ke Deng
- Division of Periodontology and Implant Dentistry, Faculty of Dentistry, Prince Philip Dental Hospital, The University of Hong Kong, 34 Hospital Road, Hong Kong SAR 999077, China
| | - Ping Li
- Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, China.
| | - Shulan Xu
- Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, China.
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24
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Deng K, Pei M, Chen Y. Research progress on animal models of contrast-induced acute kidney injury. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2023; 48:594-600. [PMID: 37385622 PMCID: PMC10930254 DOI: 10.11817/j.issn.1672-7347.2023.220608] [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] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Indexed: 07/01/2023]
Abstract
Contrast-induced acute kidney injury (CI-AKI) refers to acute kidney injury that occurs after intravascular contrast media is applied. It is the third most common cause for acute renal failure in hospitalized patients and can cause severe renal impairment and adverse cardiovascular outcomes. In severe cases, it can even lead to the death of the patient. Due to its complicated pathogenesis, the pathogenesis of CI-AKI has not yet been elucidated. Therefore, it is of great significance to further study the pathogenesis for the prevention of CI-AKI. Moreover, a good animal model of CI-AKI is an important tool for in-depth research on the pathogenesis of acute kidney injury induced by contrast agents.
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Affiliation(s)
- Ke Deng
- Department of Pathophysiology, Zhuhai Campus of Zunyi Medical University, Zhuhai Guangdong 519041, China.
| | - Mingxin Pei
- Department of Pathophysiology, Zhuhai Campus of Zunyi Medical University, Zhuhai Guangdong 519041, China
| | - Yanling Chen
- Department of Pathophysiology, Zhuhai Campus of Zunyi Medical University, Zhuhai Guangdong 519041, China.
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25
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Huang F, Zhang L, Zhou M, Li J, Liu Q, Wang B, Deng K, Zhou P, Wu Y. Polycyclic aromatic hydrocarbons in the Chinese diet: contamination characteristics, indicator screening, and health risk assessment. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2023; 40:625-640. [PMID: 37058093 DOI: 10.1080/19440049.2023.2195955] [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: 04/15/2023]
Abstract
Polycyclic aromatics hydrocarbons (PAHs) are ubiquitous in foods and environment and possess carcinogenic and mutagenic potential. Foods are the main source of exposure to PAHs in the general population. In this study, we determined the concentrations of 16 European Union priority PAHs in 1,564 foodstuffs acquired from nine provinces and commonly consumed by the Chinese population. The most predominant PAH was chrysene (16.7%), followed by benz[a]anthracene (12.4%) and benzo[b]fluoranthene (11.7%). Edible vegetable oils (17.89 μg/kg) and fruits (1.97 μg/kg) had the highest and lowest concentrations of total PAHs, respectively. Suitable indicators of PAH contamination in foods were assessed based on the occurrence of other PAHs in samples negative for benzo[a]pyrene and the correlation for the PAHs and their combinations. According to our results, PAH4 was a suitable indicator, better than PAH8 and benzo[a]pyrene alone. PAH exposure in the Chinese population was estimated by combining contamination data with national individual food consumption data, based on the middle bound approach. The overall average dietary exposures for BaP and PAH4 were 3.08 and 17.61 ng/kg bw/day, respectively. The major contributors to the total dietary exposure of PAHs were cereals (39%), edible vegetable oils (28%), and vegetables (20%). We used the margin of exposure (MOE) approach to assess health risk for consumers. MOEs of the mean estimated dietary exposures were >10,000, indicating a low concern for the health of the general population and of consumers of smoked, grilled, or barbecued foods. For high consumers and children, the MOEs were <10,000, indicating potential concerns.
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Affiliation(s)
- Feifei Huang
- Center for Disease Prevention and Control of Suzhou, Suzhou, P.R. China
- Food Safety Research Unit of Chinese Academy of Medical Sciences (2019RU014), NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, P. R. China
| | - Lei Zhang
- Food Safety Research Unit of Chinese Academy of Medical Sciences (2019RU014), NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, P. R. China
| | - Moqin Zhou
- Center for Statistical Science & Department of Industrial Engineering, Tsinghua University, Beijing, P. R. China
| | - Jianwen Li
- Food Safety Research Unit of Chinese Academy of Medical Sciences (2019RU014), NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, P. R. China
| | - Qing Liu
- Food Safety Research Unit of Chinese Academy of Medical Sciences (2019RU014), NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, P. R. China
| | - Bo Wang
- Center for Disease Prevention and Control of Suzhou, Suzhou, P.R. China
| | - Ke Deng
- Center for Statistical Science & Department of Industrial Engineering, Tsinghua University, Beijing, P. R. China
| | - Pingping Zhou
- Food Safety Research Unit of Chinese Academy of Medical Sciences (2019RU014), NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, P. R. China
| | - Yongning Wu
- Food Safety Research Unit of Chinese Academy of Medical Sciences (2019RU014), NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, P. R. China
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26
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Wang H, Chang J, Zhang W, Fang Y, Li S, Fan Y, Jiang S, Yao Y, Deng K, Lu L, Bao X, Feng F, Wang R, Feng M. Radiomics model and clinical scale for the preoperative diagnosis of silent corticotroph adenomas. J Endocrinol Invest 2023:10.1007/s40618-023-02042-2. [PMID: 37020103 DOI: 10.1007/s40618-023-02042-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 02/12/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE Silent corticotroph adenomas (SCAs) are a subtype of nonfunctioning pituitary adenomas that exhibit more aggressive behavior. However, rapid and accurate preoperative diagnostic methods are currently lacking. DESIGN The purpose of this study was to examine the differences between SCA and non-SCA features and to establish radiomics models and a clinical scale for rapid and accurate prediction. METHODS A total of 260 patients (72 SCAs vs. 188 NSCAs) with nonfunctioning adenomas from Peking Union Medical College Hospital were enrolled in the study as the internal dataset. Thirty-five patients (6 SCAs vs. 29 NSCAs) from Fuzhou General Hospital were enrolled as the external dataset. Radiomics models and an SCA scale to preoperatively diagnose SCAs were established based on MR images and clinical features. RESULTS There were more female patients (internal dataset: p < 0.001; external dataset: p = 0.028) and more multiple microcystic changes (internal dataset: p < 0.001; external dataset: p = 0.012) in the SCA group. MRI showed more invasiveness (higher Knosp grades, p ≤ 0.001). The radiomics model achieved AUCs of 0.931 and 0.937 in the internal and external datasets, respectively. The clinical scale achieved an AUC of 0.877 and a sensitivity of 0.952 in the internal dataset and an AUC of 0.899 and a sensitivity of 1.0 in the external dataset. CONCLUSIONS Based on clinical information and imaging characteristics, the constructed radiomics model achieved high preoperative diagnostic ability. The SCA scale achieved the purpose of rapidity and practicality while ensuring sensitivity, which is conducive to simplifying clinical work.
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Affiliation(s)
- H Wang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Neurospine center, China International Neuroscience Institute, Beijing, China
| | - J Chang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
| | - W Zhang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
- Department of Thoracic Surgery, Peking University First Hospital, Beijing, China
| | - Y Fang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
| | - S Li
- Department of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - Y Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - S Jiang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
| | - Y Yao
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
| | - K Deng
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
| | - L Lu
- Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - X Bao
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China
| | - F Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - R Wang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China.
| | - M Feng
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, No. 1 Shuai Fu Yuan, Dongcheng District, Beijing, 100730, China.
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27
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Zhao L, Zou M, Deng K, Xia C, Jiang S, Zhang C, Ma Y, Dong X, He M, Na T, Wang J, Xia Z, Wang F. Insights into the genetic determination of tuber shape and eye depth in potato natural population based on autotetraploid potato genome. Front Plant Sci 2023; 14:1080666. [PMID: 37056497 PMCID: PMC10086151 DOI: 10.3389/fpls.2023.1080666] [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] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
Potato is one of the world's most important food crops, with a time-consuming breeding process. In this study, we performed a genome-wide association (GWAS) analysis of the two important traits of potato tuber shape and eye depth, using the tetraploid potato genome (2n=4x=48) as a reference. A total of 370 potatoes were divided into three subgroups based on the principal component analysis and evolutionary tree analysis. The genetic diversity within subgroups is low (5.18×10-5, 4.36×10-5 and 4.24×10-5). Genome-wide linkage disequilibrium (LD) analysis showed that their LD is about 60 Kb. GWAS analysis identified that 146 significant single nucleotide polymorphism (SNP) loci at Chr01A1:34.44-35.25 Mb and Chr02A1:28.35-28.54 Mb regions are significantly associated with potato tuber shape, and that three candidate genes that might be related to potato tuber traits, PLATZ transcription factor, UTP-glucose-1-phosphate uridylyltransferase and FAR1 DNA-binding domain, are in the association region of Chr02A1. GWAS analysis identified 53 significant SNP loci at Chr05A2: 49.644-50.146 Mb and Chr06A2: 25.866-26.384 Mb regions with robust associations with potato tuber eye depth. Hydrolase and methyltransferases are present in the association region of Chr05A2, and three CYPs are present in the association region of Chr06A2. Our findings suggested that these genes are closely associated with potato tuber shape and eye depth. Our study identified molecular markers and candidate genes for improving tetraploid potato tuber shape and eye depth and provided ideas and insights for tetraploid potato breeding.
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Affiliation(s)
- Long Zhao
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Meiling Zou
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Ke Deng
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Chengcai Xia
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Sirong Jiang
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Chenji Zhang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yongzhen Ma
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
| | - Xiaorui Dong
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Miaohua He
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Tiancang Na
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- Key Laboratory of Qinghai-Tibet Plateau Biotechnology Ministry of Education, Qinghai University, Xining, China
- Qinghai Provincial Key Laboratory of Potato Breeding, Qinghai University, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining, China
| | - Jian Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- Key Laboratory of Qinghai-Tibet Plateau Biotechnology Ministry of Education, Qinghai University, Xining, China
- Qinghai Provincial Key Laboratory of Potato Breeding, Qinghai University, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining, China
| | - Zhiqiang Xia
- College of Tropical Crops, Sanya Nanfan Research Institute, Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, China
| | - Fang Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining, China
- Key Laboratory of Qinghai-Tibet Plateau Biotechnology Ministry of Education, Qinghai University, Xining, China
- Qinghai Provincial Key Laboratory of Potato Breeding, Qinghai University, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining, China
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Tang Q, Zhong F, Li Q, Weng J, Li J, Lu H, Wu H, Liu S, Wang J, Deng K, Xiao Y, Wang Z, He T. Infrared Photodetection from 2D/3D van der Waals Heterostructures. Nanomaterials (Basel) 2023; 13:1169. [PMID: 37049263 PMCID: PMC10096675 DOI: 10.3390/nano13071169] [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] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 06/19/2023]
Abstract
An infrared photodetector is a critical component that detects, identifies, and tracks complex targets in a detection system. Infrared photodetectors based on 3D bulk materials are widely applied in national defense, military, communications, and astronomy fields. The complex application environment requires higher performance and multi-dimensional capability. The emergence of 2D materials has brought new possibilities to develop next-generation infrared detectors. However, the inherent thickness limitations and the immature preparation of 2D materials still lead to low quantum efficiency and slow response speeds. This review summarizes 2D/3D hybrid van der Waals heterojunctions for infrared photodetection. First, the physical properties of 2D and 3D materials related to detection capability, including thickness, band gap, absorption band, quantum efficiency, and carrier mobility, are summarized. Then, the primary research progress of 2D/3D infrared detectors is reviewed from performance improvement (broadband, high-responsivity, fast response) and new functional devices (two-color detectors, polarization detectors). Importantly, combining low-doped 3D and flexible 2D materials can effectively improve the responsivity and detection speed due to a significant depletion region width. Furthermore, combining the anisotropic 2D lattice structure and high absorbance of 3D materials provides a new strategy in high-performance polarization detectors. This paper offers prospects for developing 2D/3D high-performance infrared detection technology.
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Affiliation(s)
- Qianying Tang
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fang Zhong
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
| | - Qing Li
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
| | - Jialu Weng
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junzhe Li
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hangyu Lu
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haitao Wu
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuning Liu
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiacheng Wang
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ke Deng
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
| | - Yunlong Xiao
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
| | - Zhen Wang
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
| | - Ting He
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
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Stenseth NC, Schlatte R, Liu X, Pielke R, Li R, Chen B, Bjørnstad ON, Kusnezov D, Gao GF, Fraser C, Whittington JD, Bai Y, Deng K, Gong P, Guan D, Xiao Y, Xu B, Johnsen EB. How to avoid a local epidemic becoming a global pandemic. Proc Natl Acad Sci U S A 2023; 120:e2220080120. [PMID: 36848570 PMCID: PMC10013804 DOI: 10.1073/pnas.2220080120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/10/2023] [Indexed: 03/01/2023] Open
Abstract
Here, we combine international air travel passenger data with a standard epidemiological model of the initial 3 mo of the COVID-19 pandemic (January through March 2020; toward the end of which the entire world locked down). Using the information available during this initial phase of the pandemic, our model accurately describes the main features of the actual global development of the pandemic demonstrated by the high degree of coherence between the model and global data. The validated model allows for an exploration of alternative policy efficacies (reducing air travel and/or introducing different degrees of compulsory immigration quarantine upon arrival to a country) in delaying the global spread of SARS-CoV-2 and thus is suggestive of similar efficacy in anticipating the spread of future global disease outbreaks. We show that a lesson from the recent pandemic is that reducing air travel globally is more effective in reducing the global spread than adopting immigration quarantine. Reducing air travel out of a source country has the most important effect regarding the spreading of the disease to the rest of the world. Based upon our results, we propose a digital twin as a further developed tool to inform future pandemic decision-making to inform measures intended to control the spread of disease agents of potential future pandemics. We discuss the design criteria for such a digital twin model as well as the feasibility of obtaining access to the necessary online data on international air travel.
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Affiliation(s)
- Nils Chr. Stenseth
- Center for Pandemics and One Health Research, Sustainable Health Unit (SUSTAINIT), Faculty of Medicine, Oslo0316, Norway
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo0316, Norway
| | - Rudolf Schlatte
- Department of Informatics, University of Oslo, Oslo0316, Norway
| | - Xiaoli Liu
- Department of Computer Science, University of Helsinki, 00560Helsinki, Finland
| | - Roger Pielke
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo0316, Norway
- Department of Environmental Studies, University of Colorado Boulder, Boulder, CO80309
| | - Ruiyun Li
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo0316, Norway
| | - Bin Chen
- Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Faculty of Architecture, University of Hong Kong, Hong Kong999077, China
- Department of Geography, Urban Systems Institute, University of Hong Kong, Hong Kong999077, China
- HKU Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong999077, China
| | - Ottar N. Bjørnstad
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo0316, Norway
- Department of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA16802
| | - Dimitri Kusnezov
- Deputy Under Secretary, Artificial Intelligence & Technology Office, US Department of Energy, Washington,DC20585
| | - George F. Gao
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Chinese Center for Disease Control and Prevention, Beijing102206, China
| | - Christophe Fraser
- Pandemic Sciences Institute, University of Oxford, OxfordOX3 7DQ, UK
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford0X3 7LFUK
| | - Jason D. Whittington
- Center for Pandemics and One Health Research, Sustainable Health Unit (SUSTAINIT), Faculty of Medicine, Oslo0316, Norway
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo0316, Norway
| | - Yuqi Bai
- Department of Earth System Science, Tsinghua University, Beijing100084, China
- Ministry of Education Ecological Field Station for East Asia Migratory Birds, Tsinghua University, Beijing100084, China
| | - Ke Deng
- Center for Statistical Science, Tsinghua University, Beijing100084, China
- Department of Industrial Engineering, Tsinghua University, Beijing100084, China
| | - Peng Gong
- Department of Earth Sciences, University of Hong Kong, Hong Kong999077, China
- The Bartlett School of Sustainable Construction, University College London, LondonWC1E 6BT, UK
| | - Dabo Guan
- Department of Earth System Science, Tsinghua University, Beijing100084, China
- The Bartlett School of Sustainable Construction, University College London, LondonWC1E 6BT, UK
| | - Yixiong Xiao
- Business Intelligence Lab, Baidu Research, Beijing100193, China
| | - Bing Xu
- Department of Earth System Science, Tsinghua University, Beijing100084, China
- Ministry of Education Ecological Field Station for East Asia Migratory Birds, Tsinghua University, Beijing100084, China
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Zhang S, Li J, Gan L, Ma L, Ma W, Zhang M, Cheng F, Deng K, Zeng Q. The self-assembly of a pair of low-symmetry tetracarboxylic acid molecules and their co-assembly with bridging molecules at the liquid-solid interface. Nanoscale 2023; 15:4353-4360. [PMID: 36752732 DOI: 10.1039/d2nr06740d] [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] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The supramolecular self-assembly behavior of a pair of low-symmetry tetracarboxylic acid molecules (H4OBDB and H4ADDI) and their co-assembly behavior with TMA as a bridging molecule were studied at the liquid-solid interface. Scanning tunneling microscope (STM) observations revealed that H4OBDB and H4ADDI molecules both tend to form O-shaped dimers but end up forming different types of self-assembly structures. We also investigated the construction of two-component co-assembly structures by mixing H4OBDB or H4ADDI molecules with bridging molecules such as TMA. The two formed co-assembly structures are similar. Based on the analysis of the STM results and the density functional theory (DFT) calculations, the formation mechanism of the assembled structures was revealed.
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Affiliation(s)
- Siqi Zhang
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing 100190, China.
| | - Jianqiao Li
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing 100190, China.
| | - Linlin Gan
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing 100190, China.
| | - Lin Ma
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing 100190, China.
| | - Wei Ma
- State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 710049, China
| | - Min Zhang
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.
| | - Faliang Cheng
- Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.
| | - Ke Deng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing 100190, China.
| | - Qingdao Zeng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing 100190, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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31
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Yang Y, Deng K. Generalized theme dictionary models for association pattern discovery. Ann Appl Stat 2023. [DOI: 10.1214/22-aoas1626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Yang Yang
- School of Statistics and Data Science, LPMC and KLMDASR, Nankai University
| | - Ke Deng
- Center for Statistical Science, Tsinghua University
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32
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He QL, Deng K, Wang XP, Chen QH, Wang TL, Wang JC, Cui JG. Heterospecific eavesdropping on disturbance cues of a treefrog. Anim Cogn 2023; 26:515-522. [PMID: 36131103 DOI: 10.1007/s10071-022-01690-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/30/2022] [Accepted: 09/04/2022] [Indexed: 11/01/2022]
Abstract
Alarm signals and cues are crucial to animal survival and vary greatly across species. Eavesdropping on heterospecific alarm signals and cues can provide eavesdroppers with information about potential threats. In addition to acoustic alarm signals, evidence has accumulated that chemical alarm cues and disturbance cues can also play a role in alerting conspecifics to potential danger in adult anurans (frogs and toads). However, there is very little known about whether disturbance cues are exploited by heterospecifics. In the present study, we conducted a binary choice experiment and a prey chemical discrimination experiment, respectively, to test the responses of a sympatric anuran species (red webbed treefrogs, Rhacophorus rhodopus) and a sympatric predator species (Chinese green tree vipers, Trimeresurus stejnegeri) to disturbance odors emitted by serrate-legged small treefrogs (Kurixalus odontotarsus). In the binary choice experiment, we found that the presence of disturbance odors did not significantly trigger the avoidance behavior of R. rhodopus. In the prey chemical discrimination experiment, compared with odors from undisturbed K. odontotarsus (control odors) and odorless control, T. stejnegeri showed a significantly higher tongue-flick rate in response to disturbance odors. This result implies that disturbance odor cues of K. odontotarsus can be exploited by eavesdropping predators to detect prey. Our study provides partial evidence for heterospecific eavesdropping on disturbance cues and has an important implication for understanding heterospecific eavesdropping on chemical cues of adult anurans.
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Affiliation(s)
- Qiao-Ling He
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, No.9 Section 4, Renmin South Road, Chengdu, 610041, China.,University of Chinese Academy of Science, Beijing, 100049, China
| | - Ke Deng
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, No.9 Section 4, Renmin South Road, Chengdu, 610041, China.
| | - Xiao-Ping Wang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, No.9 Section 4, Renmin South Road, Chengdu, 610041, China.,University of Chinese Academy of Science, Beijing, 100049, China
| | - Qing-Hua Chen
- Ministry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510530, China
| | - Tong-Liang Wang
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, 571158, China
| | - Ji-Chao Wang
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, 571158, China
| | - Jian-Guo Cui
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, No.9 Section 4, Renmin South Road, Chengdu, 610041, China.
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Zhang S, Pei Z, Lei C, Zhu S, Deng K, Zhou J, Yang J, Lu D, Sun X, Xu C, Xu C. Detection of cryptic balanced chromosomal rearrangements using high-resolution optical genome mapping. J Med Genet 2023; 60:274-284. [PMID: 35710108 DOI: 10.1136/jmedgenet-2022-108553] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/28/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Chromosomal rearrangements have profound consequences in diverse human genetic diseases. Currently, the detection of balanced chromosomal rearrangements (BCRs) mainly relies on routine cytogenetic G-banded karyotyping. However, cryptic BCRs are hard to detect by karyotyping, and the risk of miscarriage or delivering abnormal offspring with congenital malformations in carrier couples is significantly increased. In the present study, we aimed to investigate the potential of single-molecule optical genome mapping (OGM) in unravelling cryptic chromosomal rearrangements. METHODS Eleven couples with normal karyotypes that had abortions/affected offspring with unbalanced rearrangements were enrolled. Ultra-high-molecular-weight DNA was isolated from peripheral blood cells and processed via OGM. The genome assembly was performed followed by variant calling and annotation. Meanwhile, multiple detection strategies, including FISH, long-range-PCR amplicon-based next-generation sequencing and Sanger sequencing were implemented to confirm the results obtained from OGM. RESULTS High-resolution OGM successfully detected cryptic reciprocal translocation in all recruited couples, which was consistent with the results of FISH and sequencing. All high-confidence cryptic chromosomal translocations detected by OGM were confirmed by sequencing analysis of rearrangement breakpoints. Moreover, OGM revealed additional complex rearrangement events such as inverted aberrations, further refining potential genetic interpretation. CONCLUSION To the best of our knowledge, this is the first study wherein OGM facilitate the rapid and robust detection of cryptic chromosomal reciprocal translocations in clinical practice. With the excellent performance, our findings suggest that OGM is well qualified as an accurate, comprehensive and first-line method for detecting cryptic BCRs in routine clinical testing.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Zhenle Pei
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Saijuan Zhu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Ke Deng
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Jing Zhou
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Jingmin Yang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.,NHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning, Science and Technology Research Institute, Chongqing, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.,NHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning, Science and Technology Research Institute, Chongqing, China
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Chenming Xu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
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Zhao L, Zou M, Jiang S, Dong X, Deng K, Na T, Wang J, Xia Z, Wang F. Insights into the Genetic Determination of the Autotetraploid Potato Plant Height. Genes (Basel) 2023; 14:507. [PMID: 36833433 PMCID: PMC9957462 DOI: 10.3390/genes14020507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 02/08/2023] [Accepted: 02/15/2023] [Indexed: 02/19/2023] Open
Abstract
Plant height is an important characteristic, the modification of which can improve the ability of stress adaptation as well as the yield. In this study, genome-wide association analysis was performed for plant height traits in 370 potato cultivars using the tetraploid potato genome as a reference. A total of 92 significant single nucleotide polymorphism (SNP) loci for plant height were obtained, which were particularly significant in haplotypes A3 and A4 on chromosome 1 and A1, A2, and A4 on chromosome 5. Thirty-five candidate genes were identified that were mainly involved in the gibberellin and brassinolide signal transduction pathways, including the FAR1 gene, methyltransferase, ethylene response factor, and ubiquitin protein ligase. Among them, PIF3 and GID1a were only present on chromosome 1, with PIF3 in all four haplotypes and GID1a in haplotype A3. This could lead to more effective genetic loci for molecular marker-assisted selection breeding as well as more precise localization and cloning of genes for plant height traits in potatoes.
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Affiliation(s)
- Long Zhao
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, College of Tropical Crops, Hainan University, Sanya 572025, China
| | - Meiling Zou
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, College of Tropical Crops, Hainan University, Sanya 572025, China
| | - Sirong Jiang
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, College of Tropical Crops, Hainan University, Sanya 572025, China
| | - Xiaorui Dong
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, College of Tropical Crops, Hainan University, Sanya 572025, China
| | - Ke Deng
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, College of Tropical Crops, Hainan University, Sanya 572025, China
| | - Tiancang Na
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China
| | - Jian Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China
| | - Zhiqiang Xia
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, College of Tropical Crops, Hainan University, Sanya 572025, China
| | - Fang Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
- National Key Laboratory of Sanjiangyuan Ecology and Plateau Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China
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35
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Cheng W, Liang J, Zhang M, Wei F, Li J, Xue X, Zeng Y, Deng K, Zhang Q, Liu W. Radiation Dose Assessment of Tritium Released from the Thorium Molten Salt Reactor. NUCL SCI ENG 2023. [DOI: 10.1080/00295639.2022.2158020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Affiliation(s)
- Wenyu Cheng
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Liang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mingjun Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fei Wei
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinglin Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaochong Xue
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Youshi Zeng
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Ke Deng
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Qin Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Wei Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Zhang Y, Liu Y, Deng K, Ma L, Lv S, Zhang C, Xiao L. First report of Colletotrichum plurivorum causing anthracnose on pecan (Carya illinoinensis) in China. Plant Dis 2023; 107:2547. [PMID: 36724033 DOI: 10.1094/pdis-12-22-2774-pdn] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Pecan (Carya illinoinensis) is an economically important nut crop worldwide (Xiao et al 2021). Anthracnose symptoms were found on pecan fruits and leaves in plantations in Anhui and Jiangsu provinces, China in August 2019. Irregular, dark brown or black spotted lesions firstly appeared on the surface and inside of fruits, and spread to all leaves. The symptoms resulted in 30% to 50% leaf drop and nearly a half of fruit decay in almost all trees of the susceptible cv. Wichita. The causal agent were isolated from fruits with target symptoms following the steps: surface disinfected with 75% ethanol (2×, 30 s), rinsed with sterile deionized water (3×), ~ 0.5 cm small fragments of the fruits excised and plated on potato dextrose agar (PDA) medium and incubated at 28 °C in dark for 3-d. Mycelium of each colony was picked and incubated on fresh PDA at 25 °C with a 12-hour light/dark cycle for 6-d to induce conidia formation. One 5-mm hyphal plug produced from each single spore isolate was transferred onto fresh PDA to obtain the pure cultures. Koch's postulates was employed for pathogenicity determination of the isolates. Non-wounded healthy leaves from seedlings of the disease susceptible cv. Pawnee were disinfected with 1% NaClO and inoculated with 5-mm 5-d hyphal of each isolate at 25 ℃. Tiny lesion spots were visible on the leaves after 2 days post inoculation (DPI) with isolate W-6 (the only pathogenic one among all isolates), and expanded over time until to the leaves withered, while the control leaves and leaves inoculated with other isolates remained asymptomatic. The pathogenicity of W-6 were confirmed using leaves and fruits of living Pawnee trees growing in Linglong Mountain Plantation, Lin'an, Hangzhou, China (119⁰38'51″E, 30⁰12'39″N, elevation: 119m). Three experimental replicates were conducted separately with three bio-replicates for all pathogenetic testing. The same symptoms were observed on both detached leaves and leaves and fruits of living trees.. The colony of W-6 have round cottony mycelium with complete edges and showed the fastest growth rate 3 - 4 DPI. After 7 DPI, white aerial mycelium turned yellowish brown and formed Acervulus in the mycelium. Conidia (n=50) one-celled, 12.0 - 20.0 μm × 3.5 to 6.0 μm width. Hyaline cylindrical with slightly rounded ends and two or three large guttulate at the centre. Most Acervulus dark brown and slightly irregular in shape, 12.70 × 18.79 μm (n=10). Setae were dark brown in color with average length around 34.10 μm (n=10). These characteristics matched previous descriptions of Colletotrichum orchidearum species complex, including C. plurivorum (Damm et al 2019). The identity of W-6 was confirmed by multi-locus phylogenetic analysis using the internal transcribed spacer (ITS) rDNA region and partial sequences of the conserved genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH), actin (ACT), beta-tubulin 2 (TUB2), and chitin synthase (CHS). The sequences of W-6 were used for Basic Local Alignment Search Tool (BLAST) against NCBI GenBank and the sequences with 100% identity to that of W-6 were achieved, respectively. The concatenated sequences of the ACT-CHS-GAPDH-ITS-TUB2 was used for building a phylogenetic tree. The molecular analyses allowed the identification of the pathogen as C. plurivorum. It was known that 9 of the 11 Colletotrichum species causing pecan anthrax worldwide were reported in southern China (Brenneman 1989; Oh et al 2021). This is the first report of C. plurivorum as causal agent of pecan in China.
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Affiliation(s)
- Ying Zhang
- Zhejiang A&F UniversityHangzhou, China, 310000;
| | | | | | | | | | | | - Lihong Xiao
- No. 666, Wusu St.Hangzhou, Zhejiang, China, 311300;
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Shen J, Qian S, Huang L, Tao Y, Chen H, Deng K, Yang F, Zong G, Zheng Y, Wang X, Tonetti M, Yuan C. Association of the number of natural teeth with dietary diversity and nutritional status in older adults: A cross-sectional study in China. J Clin Periodontol 2023; 50:242-251. [PMID: 36122930 DOI: 10.1111/jcpe.13728] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/13/2022] [Accepted: 09/14/2022] [Indexed: 01/18/2023]
Abstract
AIM To investigate the association of the number of natural teeth with overall dietary diversity and nutritional status in a nationally representative study among older adults in China. MATERIALS AND METHODS A cross-sectional analysis was conducted among community-dwelling adults aged 65 years or older from the Chinese Longitudinal Healthy Longevity Study. According to the self-reported number of natural teeth, participants were categorized into ≥20, 10-19, 1-9 natural teeth, and edentulous. Dietary diversity score (DDS) was constructed based on intake frequencies of 10 food groups assessed by a simplified food frequency questionnaire. The geriatric nutritional risk index was used to measure the malnutrition status (i.e., normal, mild malnutrition, and moderate-to-severe malnutrition) among a subgroup of participants. Linear and multinomial logistic regression models were used to examine the corresponding associations. RESULTS Among 54,796 study participants, the mean (SD) age was 87.86 (11.45) years, 82.7% had poor dentition (<20 natural teeth), and 27.3% wore dentures. After multivariable adjustment, participants with poor dentition had lower DDSs (βedentulous = -0.39, 95% confidence interval [CI], -0.48, -0.30; β1-9 teeth = -0.46, 95% CI, -0.55, -0.37; β10-19 teeth = -0.36, 95% CI, -0.46, -0.26) than those with 20 natural teeth or more. For individual food items, edentulous, 1-9 and 10-19 natural teeth were associated with lower odds of regular intake of fresh fruits, fresh vegetables, meat, fish and aquatic products, eggs, legumes, preserved vegetables, tea, and garlic, but higher odds of regular intake of sugar and sweets. Among participants with poor dentition, individuals without dentures had lower intake frequencies of most food groups than those wearing dentures. In addition, poor dentition was related to lower odds of normal nutritional status (odds ratio = 0.49, 95% CI, 0.27, 0.89). CONCLUSIONS Older adults with poor dentition had significantly lower dietary diversity and worse nutritional status. Future studies are warranted to identify effective interventions to improve the dietary quality and nutrition status among partially and fully edentulous individuals, including those with Stage IV periodontitis.
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Affiliation(s)
- Jie Shen
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Shujiao Qian
- Shanghai PerioImplant Innovation Center, Department of Oral Implantology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,College of Stomatology, Shanghai Jiao Tong University, Shanghai, China.,National Center of Stomatology, Shanghai, China.,National Clinical Research Center for Oral Diseases, Shanghai, China.,Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Liyan Huang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Yang Tao
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Chen
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Ke Deng
- Shanghai PerioImplant Innovation Center, Department of Oral Implantology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,College of Stomatology, Shanghai Jiao Tong University, Shanghai, China.,National Center of Stomatology, Shanghai, China.,National Clinical Research Center for Oral Diseases, Shanghai, China.,Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Fei Yang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China
| | - Xiaofeng Wang
- Human Phenome Institute, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Maurizio Tonetti
- Shanghai PerioImplant Innovation Center, Department of Oral Implantology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,College of Stomatology, Shanghai Jiao Tong University, Shanghai, China.,National Center of Stomatology, Shanghai, China.,National Clinical Research Center for Oral Diseases, Shanghai, China.,Shanghai Key Laboratory of Stomatology, Shanghai, China.,European Research Group on Periodontology, WTC Tower Genoa, Genoa, Italy
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
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Luo X, Jiang H, Liu XJ, Zhang Z, Deng K, Lin F, Jiang J, Wang YL, Yu J. Base MRI Imaging Characteristics of Meningioma Patients to Discuss the WHO Classification of Brain Invasion Otherwise Benign Meningiomas. Technol Cancer Res Treat 2023; 22:15330338231171470. [PMID: 37264676 DOI: 10.1177/15330338231171470] [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: 06/03/2023] Open
Abstract
PURPOSE Compared and analyzed the MRI imaging features of brain invasion otherwise benign (BIOB) meningiomas and WHO grade 1, grade 2 meningiomas, discussed the WHO grading of BIOB from the perspective of imaging. MATERIALS AND METHODS A retrospective analysis was performed on 675 meningiomas patients who carried on MRI examination from January 2006 to February 2022. Setting the 2022 Central nervous system (CNS) WHO Guidelines as the gold standard for pathological diagnosis. Statistical analysis of age, gender, and MRI features of meningiomas in relation to WHO grade and brain invasion. RESULTS Among 675 cases meningiomas, 543 (80.4%) were WHO grade 1, 123 (18.2%) were WHO grade 2, and 9 (1.3%) were WHO grade 3. There were 108 cases meningiomas with brain invasion (BI) (16.0%) and 567 cases without BI (84.0%). Among BI cases, 67 cases were BIOB. Compared the MRI features between BIOB and WHO grade 1 meningiomas, multivariate analysis demonstrated that the most strongly factors associated with distinguish them were enhancement degree, peritumoral edema, tumor-brain interface, fingerlike protrusion, mushroom sign, and bone invasion (AUC: 0.925 (0.901∼0.945), sensitivity: 0.925, specificity: 0.801). Compared the MRI features between BIOB and WHO grade 2 meningiomas, multivariate analysis demonstrated that the most strongly factors associated with distinguish them were enhancement degree and the tumor-brain interface (AUC: 0.779 (0.686∼0.841), sensitivity: 0.746, specificity: 0.732), their efficacy was slightly weaker. CONCLUSIONS BIOB is more similar to WHO grade 2 meningiomas in clinical and imaging features than WHO grade 1, so we think that it may be reasonable to classify BIOB as WHO Grade 2 meningiomas in the guidelines.
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Affiliation(s)
- Xiao Luo
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hong Jiang
- Faculty of Medicine, Macau university of science and technology, Macau University of Science and Technology, Taipa, Macau, China
| | - X J Liu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Z Zhang
- Faculty of Medicine, Macau university of science and technology, Macau University of Science and Technology, Taipa, Macau, China
| | - K Deng
- Philips Healthcare, China International Center, Guangzhou, China
| | - F Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - J Jiang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Y L Wang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - J Yu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
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Zhang Y, Lei P, Meng T, Deng K, Xiao X, Zeng Q. Coronene guest molecule selectivity in host templates formed by hydrogen bonding and van der Waals forces at liquid/solid interfaces. NEW J CHEM 2023. [DOI: 10.1039/d3nj00382e] [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: 04/05/2023]
Abstract
COR guest molecules are selectively adsorbed in the hexagonal cavities in both H6PDB and H6PAB self-assembled systems and preferentially adsorbed in the H6PAB host template in the H6PAB/HPB system.
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Affiliation(s)
- Yufei Zhang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, P. R. China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- School of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China
| | - Peng Lei
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, P. R. China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Ting Meng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, P. R. China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Ke Deng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, P. R. China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Xunwen Xiao
- School of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China
| | - Qingdao Zeng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, P. R. China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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Harati J, Liu K, Shahsavarani H, Du P, Galluzzi M, Deng K, Mei J, Chen HY, Bonakdar S, Aflatoonian B, Hou G, Zhu Y, Pan H, Wong RCB, Shokrgozar MA, Song W, Wang PY. Defined Physicochemical Cues Steering Direct Neuronal Reprogramming on Colloidal Self-Assembled Patterns (cSAPs). ACS Nano 2022; 17:1054-1067. [PMID: 36583476 DOI: 10.1021/acsnano.2c07473] [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] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Direct neuronal reprogramming of somatic cells into induced neurons (iNs) has been recently established as a promising approach to generating neuron cells. Previous studies have reported that the biophysical cues of the in vitro microenvironment are potent modulators in the cell fate decision; thus, the present study explores the effects of a customized pattern (named colloidal self-assembled patterns, cSAPs) on iN generation from human fibroblasts using small molecules. The result revealed that the cSAP, composed of binary particles in a hexagonal-close-packed (hcp) geometry, is capable of improving neuronal reprogramming efficiency and steering the ratio of the iN subtypes. Cells exhibited distinct cell morphology, upregulated cell adhesion markers (i.e., SDC1 and ITGAV), enriched signaling pathways (i.e., Hippo and Wnt), and chromatin remodeling on the cSAP compared to those on the control substrates. The result also showed that the iN subtype specification on cSAP was surface-dependent; therefore, the defined physicochemical cue from each cSAP is exclusive. Our findings show that direct cell reprogramming can be manipulated through specific biophysical cues on the artificial matrix, which is significant in cell transdifferentiation and lineage conversion.
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Affiliation(s)
- Javad Harati
- Lab Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran1316943551, Iran
- Oujiang Laboratory, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang325000, People's Republic of China
- Shenzhen Key Laboratory of Biomimetic Materials and Cellular Immunomodulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong518055, People's Republic of China
- University of Chinese Academy of Science, Beijing101408, People's Republic of China
| | - Kun Liu
- Shenzhen Key Laboratory of Biomimetic Materials and Cellular Immunomodulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong518055, People's Republic of China
| | - Hosein Shahsavarani
- Lab Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran1316943551, Iran
- Oujiang Laboratory, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang325000, People's Republic of China
- Department of Cell and Molecular Biology, Faculty of Life Science and Biotechnology, Shahid Beheshti University, Tehran1983969411, Iran
| | - Ping Du
- Shenzhen Key Laboratory of Biomimetic Materials and Cellular Immunomodulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong518055, People's Republic of China
| | - Massimiliano Galluzzi
- Materials Interfaces Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong518055, People's Republic of China
| | - Ke Deng
- School of Food and Bioengineering, Xihua University, Chengdu610097, People's Republic of China
| | - Jei Mei
- Oujiang Laboratory, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang325000, People's Republic of China
| | - Hsien-Yeh Chen
- Department of Chemical Engineering, National Taiwan University, Taipei10617, Taiwan
| | - Shahin Bonakdar
- Lab Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran1316943551, Iran
| | - Behrouz Aflatoonian
- Stem Cell Biology Research Center, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd8916188635, Iran
| | - Guoqiang Hou
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, Guangdong518055, People's Republic of China
| | - Yingjie Zhu
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, Guangdong518055, People's Republic of China
| | - Haobo Pan
- Shenzhen Key Laboratory of Biomimetic Materials and Cellular Immunomodulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong518055, People's Republic of China
| | - Raymond C B Wong
- Centre for Eye Research Australia, Department of Surgery, University of Melbourne, Parkville, Victoria3002, Australia
| | - Mohammad Ali Shokrgozar
- Lab Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran1316943551, Iran
| | - Weihong Song
- Oujiang Laboratory, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang325000, People's Republic of China
| | - Peng-Yuan Wang
- Oujiang Laboratory, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang325000, People's Republic of China
- Shenzhen Key Laboratory of Biomimetic Materials and Cellular Immunomodulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong518055, People's Republic of China
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Deng K, He QL, Wang TL, Wang JC, Cui JG. Network analysis reveals context-dependent structural complexity of social calls in serrate-legged small treefrogs. Curr Zool 2022. [DOI: 10.1093/cz/zoac104] [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: 12/28/2022] Open
Abstract
Abstract
Vocal communication plays an important role in survival, reproduction, and animal social association. Birds and mammals produce complex vocal sequence to convey context-dependent information. Vocalizations are conspicuous features of the behavior of most anuran species (frogs and toads), and males usually alter their calling strategies according to ecological context to improve the attractiveness/competitiveness. However, very few studies have focused on the variation of vocal sequence in anurans. In the present study, we used both conventional method and network analysis to investigate the context-dependent vocal repertoire, vocal sequence, and call network structure in serrate-legged small treefrogs Kurixalus odontotarsus. We found that male K. odontotarsus modified their vocal sequence by switching to different call types and increasing repertoire size in the presence of a competitive rival. Specifically, compared with before and after the playback of advertisement calls, males emitted fewer advertisement calls, but more aggressive calls, encounter calls and compound calls during the playback period. Network analysis revealed that the mean degree, mean closeness, and mean betweenness of the call networks significantly decreased during the playback period, which resulted in lower connectivity. In addition, the increased proportion of one-way motifs and average path length also indicates that the connectivity of the call network decreased in competitive context. However, the vocal sequence of K. odontotarsus did not display a clear small-world network structure, regardless of contexts. Our study presents a paradigm to apply network analysis to vocal sequence in anurans and has important implications for understanding the evolution and function of sequence patterns.
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Affiliation(s)
- Ke Deng
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences , Chengdu 610041, China
| | - Qiao-Ling He
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences , Chengdu 610041, China
- University of Chinese Academy of Science , Beijing 100049, China
| | - Tong-Liang Wang
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University , Haikou 571158, China
| | - Ji-Chao Wang
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University , Haikou 571158, China
| | - Jian-Guo Cui
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences , Chengdu 610041, China
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Liu J, Luo X, Yao M, Zhao L, Zhou X, Liu Y, Deng K, Ma Y, Zou K, Li L, Sun X. Use of statistical methods among acupuncture randomized controlled trials was far from satisfactory. J Clin Epidemiol 2022; 152:1-12. [PMID: 36122823 DOI: 10.1016/j.jclinepi.2022.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/23/2022] [Accepted: 09/12/2022] [Indexed: 01/25/2023]
Abstract
OBJECTIVES To examine whether appropriate statistical methods were used in acupuncture randomized controlled trials (RCTs). STUDY DESIGN AND SETTING We searched PubMed to identify acupuncture RCTs with continuous outcome as primary outcome published in the core clinical journals and complementary and alternative medicine (CAM) journals between January 2010 and December 2019 (10 years). We compared statistical characteristics of included trials published in core clinical journals and CAM journals. RESULTS We included 262 RCTs, including 46 published in core clinical journals and 216 in CAM journals. Of included RCTs, only 132 (50.4%) clearly predefined the primary outcome, 72 (27.5%) specified the use of intention to treat or modified intention to treat population for primary analysis. In the 167 trials reported missing participant data (MPD), 118 (70.7%) used suboptimal methods (e.g., complete case analysis) for dealing with MPD; 11 (6.6%) conducted sensitivity analysis regarding MPD. Among the 161 trials with repeated measures design, only 21 (13.0%) used advanced statistical models (e.g., mixed-effects models) for handling repeated-measure data in the primary analysis. In the 72 trials involving multiple acupuncturists, only 4 (5.6%) adjusted acupuncturist variable or considered the clustering by acupuncturist in analysis. Trials in core clinical journals were more likely to predefine primary outcome (78.3% vs. 44.4%, P < 0.001), use multiple imputations for handling MPD (40% vs. 1.5%, P < 0.001), and use statistically advanced methods for assessing treatment effect at a single time point (26.1% vs. 2%, P = 0.001). CONCLUSION The use of statistical methods among acupuncture RCTs is far from satisfactory. Our findings highlighted the need for researchers to carefully use the optimal statistical methods and for journal editors to strengthen the use of statistical methods.
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Affiliation(s)
- Jiali Liu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Xiaochao Luo
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Minghong Yao
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Ling Zhao
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan, China
| | - Xu Zhou
- Evidence-based Medicine Research Center, School of Basic Science, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, Jiangxi, China
| | - Yanmei Liu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Ke Deng
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Yu Ma
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Kang Zou
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China
| | - Ling Li
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China.
| | - Xin Sun
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, Sichuan, China; Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, Sichuan, China; Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan, China.
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Chen L, Fu Y, Hu Z, Deng K, Song Z, Liu S, Li M, Ou X, Wu R, Liu M, Li R, Gao S, Cheng L, Chen S, Xu A. Nuclear m 6 A reader YTHDC1 suppresses proximal alternative polyadenylation sites by interfering with the 3' processing machinery. EMBO Rep 2022; 23:e54686. [PMID: 36094741 PMCID: PMC9638877 DOI: 10.15252/embr.202254686] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 08/11/2022] [Accepted: 08/25/2022] [Indexed: 08/21/2023] Open
Abstract
N6-methyladenosine (m6 A) and alternative polyadenylation (APA) are important regulators of gene expression in eukaryotes. Recently, it was found that m6 A is closely related to APA. However, the molecular mechanism of this new APA regulation remains elusive. Here, we show that YTHDC1, a nuclear m6 A reader, can suppress proximal APA sites and produce longer 3' UTR transcripts by binding to their upstream m6 A sites. YTHDC1 can directly interact with the 3' end processing factor FIP1L1 and interfere with its ability to recruit CPSF4. Binding to the m6 A sites can promote liquid-liquid phase separation of YTHDC1 and FIP1L1, which may play an important role in their interaction and APA regulation. Collectively, YTHDC1 as an m6 A "reader" links m6 A modification with pre-mRNA 3' end processing, providing a new mechanism for APA regulation.
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Affiliation(s)
- Liutao Chen
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Yonggui Fu
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Zhijie Hu
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Ke Deng
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Zili Song
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Susu Liu
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Mengxia Li
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Xin Ou
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Runze Wu
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Mian Liu
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Rui Li
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Shuiying Gao
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Lin Cheng
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Shangwu Chen
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
| | - Anlong Xu
- Department of Biochemistry, State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Higher Education Mega CenterSun Yat‐sen UniversityGuangzhouChina
- School of Life ScienceBeijing University of Chinese MedicineBeijingChina
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Wang J, Deng K, Li L, Dai Y, Sun X. Levonorgestrel-releasing intrauterine system vs. systemic medication or blank control for women with dysmenorrhea: Systematic review and meta-analysis of randomized controlled trials. Front Glob Womens Health 2022; 3:1013921. [PMID: 36405811 PMCID: PMC9666369 DOI: 10.3389/fgwh.2022.1013921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/26/2022] [Indexed: 01/25/2023] Open
Abstract
AIMS To compare efficacy and safety of the levonorgestrel-releasing intrauterine system (LNG-IUS) with systemic medication or blank control in the treatment of dysmenorrhea. METHODS PubMed, EMBASE, the China National Knowledge Infrastructure (CNKI) and Wanfang Data were searched to collect randomized controlled trials (RCTs) comparing LNG-IUS with systemic medication or blank control among women diagnosed with primary dysmenorrhea or secondary dysmenorrhea (adenomyosis or endometriosis) from inception to 2020.04. Der Simonian-Laird random-effect model was used to pool data. RESULTS Seventy-one RCTs (6551 patients) were included. Overall bias risk was medium. Sixty-two articles enrolled patients with adenomyosis; LNG-IUS significantly reduced the visual analogue scale (VAS) score compared with the systemic medication group among adenomyosis women at 3 months (standardized mean difference (SMD) = -0.81, 95% confidence interval (CI) -1.22 to -0.40); 6 months (SMD = -1.25, 95%CI: -1.58 to -0.92); 9 months (SMD = -1.23, 95%CI: -1.63 to -0.83); 12 months (SMD = -1.66, 95%CI: -2.14 to -1.18). No difference was found in the incidence of irregular vaginal bleeding (16 RCTs; RR = 0.91, 95%CI: 0.62-1.33, P = 0.63, I 2 = 4%) and other adverse outcomes. Sensitivity analysis regarding randomization methods was robust. Nine RCTs enrolled endometriosis women. Pooling results showed no significant difference between LNG-IUS and systemic medication treatment in terms of VAS at 6 months (SMD = -0.27, 95% CI: -0.97-0.43). Moreover, LNG-IUS was associated with higher risk of irregular vaginal bleeding (26.8% vs. 0). CONCLUSIONS LNG-IUS was associated with a reduced severity of dysmenorrhea compared with systemic medication; it was also beneficial for better control of menstrual blood loss and fewer adverse outcomes. Owing to small sample sizes, further well-designed RCTs are warranted to confirm these findings and long-term effects of LNG-IUS in the treatment of dysmenorrhea. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero/, identifier: CRD42021228343.
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Affiliation(s)
- Jing Wang
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ke Deng
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ling Li
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Dai
- Department of Obstertrics and Gynecology, Peking Union College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Obstetrics & Gynecologic Diseases, Beijing, China,Correspondence: Yi Dai Xin Sun
| | - Xin Sun
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China,Correspondence: Yi Dai Xin Sun
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Lei P, Ma L, Zhang S, Li J, Gan L, Deng K, Duan W, Li W, Zeng Q. The self-assembly and structural regulation of a hydrogen-bonded dimeric building block formed by two N-H…O hydrogen bonds on HOPG. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.108005] [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: 11/18/2022]
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46
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Wang J, Ren Y, Li J, Deng K. The
Footprint
of Factorization Models and Their Applications in Collaborative Filtering. ACM T INFORM SYST 2022. [DOI: 10.1145/3490475] [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: 11/01/2022]
Abstract
Factorization models have been successfully applied to the recommendation problems and have significant impact to both academia and industries in the field of
Collaborative Filtering
(
CF
). However, the intermediate data generated in factorization models’
decision making process
(or
training process
,
footprint
) have been overlooked even though they may provide rich information to further improve recommendations. In this article, we introduce the concept of Convergence Pattern, which records how ratings are learned step-by-step in factorization models in the field of CF. We show that the concept of Convergence Patternexists in both the model perspective (e.g., classical
Matrix Factorization
(
MF
) and deep-learning factorization) and the training (learning) perspective (e.g.,
stochastic gradient descent
(
SGD
),
alternating least squares
(
ALS
), and
Markov Chain Monte Carlo
(
MCMC
)). By utilizing the Convergence Pattern, we propose a prediction model to estimate the prediction reliability of missing ratings and then improve the quality of recommendations. Two applications have been investigated: (1) how to evaluate the reliability of predicted missing ratings and thus recommend those ratings with high reliability. (2) How to explore the estimated reliability to adjust the predicted ratings to further improve the predication accuracy. Extensive experiments have been conducted on several benchmark datasets on three recommendation tasks: decision-aware recommendation, rating predicted, and Top-
N
recommendation. The experiment results have verified the effectiveness of the proposed methods in various aspects.
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Affiliation(s)
- Jinze Wang
- RMIT University, Melbourne VIC, Australia
| | - Yongli Ren
- RMIT University, Melbourne VIC, Australia
| | - Jie Li
- RMIT University, Melbourne VIC, Australia
| | - Ke Deng
- RMIT University, Melbourne VIC, Australia
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47
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Li W, Xiao H, Wu H, Pan C, Deng K, Xu X, Zhang Y. Analysis of environmental chemical mixtures and nonalcoholic fatty liver disease: NHANES 1999-2014. Environ Pollut 2022; 311:119915. [PMID: 35970346 DOI: 10.1016/j.envpol.2022.119915] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/09/2022] [Accepted: 08/03/2022] [Indexed: 06/15/2023]
Abstract
We aimed to investigate the associations between chemical mixtures and the risk of nonalcoholic fatty liver disease (NAFLD) in this study. A total of 127 exposure analytes within 13 chemical mixture groups were included in the current analysis. Associations between chemical mixture exposure and prevalence of NAFLD were examined using weighted quantile sum (WQS) regressions. NAFLD was diagnosed by hepatic steatosis index (HSI) and US fatty liver index (USFLI). In USFLI-NAFLD cohort, chemical mixtures positively associated with NAFLD development included urinary metals (OR: 1.10, 95% CI: 1.04-1.16), urinary perchlorate, nitrate and thiocyanate (OR: 1.06, 95% CI: 1.02-1.11), urinary pesticides (OR: 1.24, 95% CI: 1.09-1.40), urinary phthalates (OR: 1.18, 95% CI: 1.09-1.28), urinary polyaromatic hydrocarbons (PAHs) (OR: 1.08, 95% CI: 1.03-1.14), and urinary pyrethroids, herbicides, and organophosphate pesticides metabolites (OR: 1.32, 95% CI: 1.15-1.51). All of the above mixtures were also statistically significant in WQS regressions in the HSI-NAFLD cohort. Besides, some chemical mixtures were only significant in HSI-NAFLD cohort including urinary arsenics (OR: 1.07, 95% CI: 1.02-1.12), urinary phenols (OR: 1.10, 95% CI: 1.02-1.19) and blood polychlorinated dibenzo-p-dioxins (OR: 1.10, 95% CI: 1.03-1.17). Three types of chemical mixtures only showed significant associations in the healthy lifestyle score (HLS) of 3-4 subgroup, including urinary perchlorate, nitrate and thiocyanate, urinary PAHs and blood polychlorinated dibenzo-p-dioxins. In conclusion, the exposure of specific types of chemical mixtures were associated with elevated NAFLD risk, and the effects of some chemical mixtures on NAFLD development exhibited differences in participants with different lifestyles.
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Affiliation(s)
- Wei Li
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Haitao Xiao
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Hong Wu
- Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China
| | - Cheng Pan
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ke Deng
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xuewen Xu
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Yange Zhang
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Fang XM, Liu Y, Wang J, Zhang X, Wang L, Zhang L, Zhang HP, Liu L, Huang D, Liu D, Deng K, Luo FM, Wan HJ, Li WM, Wang G, Oliver BG. Endogenous Adenosine 5'-Monophosphate, But Not Acetylcholine or Histamine, is Associated with Asthma Control, Quality of Life, and Exacerbations. Lung 2022; 200:579-589. [PMID: 36156139 DOI: 10.1007/s00408-022-00570-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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/05/2022] [Indexed: 10/14/2022]
Abstract
OBJECTIVE Endogenous adenosine 5'-monophosphate (AMP), acetylcholine (ACh), and histamine (HA) are known to be important in bronchial contraction, but their clinical relevance to asthma is poorly understood. We aimed to quantify endogenous AMP, ACh, and HA in induced sputum samples and explore their relationships with asthma control and exacerbations. METHODS 20 healthy subjects and 112 asthmatics underwent clinical assessment, sputum induction, and blood sampling. The level of asthma control was determined by the asthma control test (ACT) questionnaire. Asthma exacerbation was evaluated according to the criteria of the American Thoracic Society/European Respiratory Society. Levels of AMP, ACh, and HA in sputum were measured by liquid chromatography coupled to tandem mass spectrometry. IL-β, IL-4, IL-5, IL-6, IL-8, IL-13, IL-17A, TNF-α, IFN-γ, and macrophage-derived chemokine (MDC) were also measured. RESULTS Compared to healthy controls, asthmatics had higher levels of HA, lower levels of ACh, and similar levels of AMP in induced sputum samples. Compared to controlled asthma (n = 54), uncontrolled asthma (n = 58) showed higher AMP levels (P = 0.002), but similar HA and ACh levels. AMP was negatively correlated with ACT scores (r = - 0.348) and asthma quality of life questionnaire scores (r = - 0.188) and positively correlated with blood monocytes percentage (r = 0.195), sputum MDC (r = 0.214), and IL-6 levels (r = 0.196). Furthermore, AMP was associated with an increased risk of exacerbations in the preceding year. CONCLUSION Endogenous AMP, but not ACh or HA, was associated with asthma control, quality of life, and exacerbations in the previous year, which indicates that AMP could be a clinically useful biomarker of asthma.
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Affiliation(s)
- Xue Mei Fang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ying Liu
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ji Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xin Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Lei Wang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Li Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hong Ping Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Lei Liu
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Dan Huang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.,Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ke Deng
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Feng Ming Luo
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hua Jing Wan
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Wei Min Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. .,Respiratory Microbiome Laboratory, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, Sichuan, China.
| | - Gang Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. .,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Brian G Oliver
- School of Life Sciences, University of Technology Sydney, Ultimo, NSW, 2007, Australia.,Respiratory Cellular and Molecule Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, 2017, Australia
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Zhou W, Yang L, Deng K, Xu G, Wang Y, Ni Q, Zhang Y. Investigation of isoflavone constituents from tuber of Apios Americana Medik and its protective effect against oxidative damage on RIN-m5F cells. Food Chem 2022; 405:134655. [DOI: 10.1016/j.foodchem.2022.134655] [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] [Received: 05/02/2022] [Revised: 09/06/2022] [Accepted: 10/15/2022] [Indexed: 11/04/2022]
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50
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Ke X, Duan L, Gong F, Zhang Y, Deng K, Yao Y, Wang L, Feng F, Xing B, Pan H, Zhu H. A study on serum pro-neurotensin (PNT), furin, and zinc alpha-2-glycoprotein (ZAG) levels in patients with acromegaly. J Endocrinol Invest 2022; 45:1945-1954. [PMID: 35670958 DOI: 10.1007/s40618-022-01827-1] [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: 02/03/2022] [Accepted: 05/18/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Acromegaly caused by growth hormone cell adenoma is commonly associated with abnormal glucolipid metabolism, which may result from changes in adipocytokine secretion. This study aims to investigate serum adipokine levels, including pro-neurotensin (PNT), furin, and zinc alpha-2-glycoprotein (ZAG), in acromegalic patients and the correlation between the levels of these three adipokines and GH levels and glucolipid metabolism indices. METHODS Sixty-eight acromegalic patients and 121 controls were included, and their clinical data were recorded from electronic medical record system. Serum PNT, furin and ZAG levels were measured by ELISA. RESULTS Serum PNT levels in acromegalic patients were significantly higher than controls (66.60 ± 12.36 vs. 46.68 ± 20.54 pg/ml, P < 0.001), and acromegaly was an independent influencing factor of PNT levels (P < 0.001). Moreover, subjects with the highest tertile of PNT levels had a close correlation with acromegaly (OR = 22.200, 95% CI 7.156 ~ 68.875, P < 0.001), even in Model 1 adjusted for gender and age and Model 2 adjusted for gender, age and BMI. Additionally, serum PNT levels were positively correlated with BMI (r = 0.220, P = 0.002) and triglycerides (TGs, r = 0.295, P < 0.001), and TGs were an independent influencing factor of serum PNT levels in acromegalic subjects (P < 0.001). Furthermore, serum PNT levels in obese acromegalic patients were significantly higher than those with normal BMI (P < 0.05). However, serum furin levels were lower in acromegalic patients than controls (0.184 ± 0.036 vs. 0.204 ± 0.061 ng/ml, P < 0.001). CONCLUSION This study is the first to demonstrate that acromegalic patients have increased serum PNT levels. Moreover, serum PNT plays a potential role in abnormal lipid metabolism of acromegalic patients.
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Affiliation(s)
- X Ke
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - L Duan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - F Gong
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Y Zhang
- Central Research Laboratory, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - K Deng
- Department of Neurosurgery, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - Y Yao
- Department of Neurosurgery, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - L Wang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - F Feng
- Department of Radiology, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - B Xing
- Department of Neurosurgery, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - H Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China
| | - H Zhu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, 100730, China.
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