| Literature DB >> 32849507 |
Anna A Mukhina1, Natalya B Kuzmenko1, Yulia A Rodina1, Irina V Kondratenko2, Andrei A Bologov2, Tatiana V Latysheva3, Andrei P Prodeus4, Alexander N Pampura5, Dmitrii N Balashov1, Natalya I Ilyina3, Elena A Latysheva3, Ekaterina A Deordieva1, Oksana A Shvets1, Elena V Deripapa1, Irina N Abramova1, Olga E Pashenko2, Svetlana S Vahlyarskaya2, Natalya V Zinovyeva4, Sergei B Zimin4, Elena V Skorobogatova2, Elena B Machneva2, Daria S Fomina6,7, Maria G Ipatova8, Ludmila Yu Barycheva9,10, Ludmila S Khachirova9, Irina A Tuzankina11, Michail A Bolkov11, Natalya V Shakhova12, Elena M Kamaltynova13,14,15, Farida I Sibgatullina16, Marina N Guseva17,18, Raisa N Kuznetsova17, Anzhelika M Milichkina17, Areg A Totolian17, Natalia M Kalinina17, Evgenia A Goltsman18, Ekatherina I Sulima19, Anastasia Yu Kutlyanceva1, Anna A Moiseeva1, Anna L Khoreva1, Zoya Nesterenko1, Elena V Tymofeeva20, A Ermakova20, Dilyara D Proligina21, Linara R Kalmetieva21, Gulshat A Davletbaieva21, Irina A Mirsayapova21, Olga A Richkova22, Ksenia P Kuzmicheva22, Maria A Grakhova23, Natalya B Yudina24, Ekaterina A Orlova24, Olga S Selezneva25, Svetlana G Piskunova25, Tatiana V Samofalova26, Tatiana V Bukina27, Anna D Pechkurova28, N Migacheva28, A Zhestkov28, Elena V Barmina29, Natalya A Parfenova30, Svetlana N Isakova31, Elena V Averina32, Irina V Sazonova33, Svetlana Yu Starikova33, Tatiana V Shilova34, Tatiana V Asekretova35, Roman N Suprun35, Elena I Kleshchenko35, Vladimir V Lebedev35, Elena V Demikhova36, Valerii G Demikhov36, Veronica A Kalinkina37, Alla V Gorenkova38, Svetlana N Duryagina38, Tatiana B Pavlova39, Vera M Shinkareva39, Irina V Smoleva40, Tatiana P Aleksandrova41, Zema V Bambaeva42, Marina A Philippova43, Elena M Gracheva44, Galina I Tcyvkina45, Alexey V Efremenkov45, D Mashkovskaya46, Irina V Yarovaya47, Valentina A Alekseenko48, Ivan V Fisyun49, Galina V Molokova50, Ekatherina V Troitskya51, Ludmila I Piatkina52, Elena V Vlasova53, O Ukhanova54,55, Ekaterina G Chernishova56, M Vasilieva57, Olga M Laba58, E Volodina59, Ekaterina V Safonova60, Kirill A Voronin1, Maria V Gurkina1, Alexander G Rumyantsev1, Galina A Novichkova1, Anna Yu Shcherbina1.
Abstract
Introduction: Primary immunodeficiencies (PID) are a group of rare genetic disorders with a multitude of clinical symptoms. Characterization of epidemiological and clinical data via national registries has proven to be a valuable tool of studying these diseases. Materials andEntities:
Keywords: HSCT; IVIG; PID registry; epidemiology; genetics; primary immunodeficiency
Mesh:
Substances:
Year: 2020 PMID: 32849507 PMCID: PMC7424007 DOI: 10.3389/fimmu.2020.01491
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Age distribution and gender ratio of PID patients registered in the Russian PID registry (living 492 patients only, n = 1851).
Figure 2Patients' distribution by the age of PID diagnosis (n = 2,502).
Figure 3Distribution of patients among the PID groups (n = 2,728). PID groups are shown according to IUIS classification, 2017 (1). Total number of patients and percentage of all registered patients are shown for each group.
Distribution of patients by PID groups [according to IUIS classification, 2017 (1)].
| Autoinflammatory disorders | 221 | 101 | 120 | 186 | 1 | 34 | 23 | 6 |
| Defects in intrinsic and innate immunity | 43 | 19 | 24 | 32 | 1 | 10 | 8 | 7 |
| Complement deficiencies | 342 | 215 | 127 | 210 | 3 | 138 | 99 | – |
| Congenital defects of phagocyte number or function | 262 | 71 | 191 | 186 | 14 | 62 | 41 | 66 |
| Diseases of immune dysregulation | 196 | 65 | 131 | 134 | 18 | 44 | 24 | 41 |
| Combined immunodeficiencies with associated or syndromic features | 591 | 214 | 377 | 405 | 59 | 127 | 57 | 106 |
| Predominantly antibody deficiencies | 699 | 238 | 461 | 453 | 21 | 225 | 36 | 5 |
| Immunodeficiencies affecting cellular and humoral immunity | 368 | 145 | 223 | 248 | 83 | 37 | 22 | 111 |
| Phenocopies | 6 | 3 | 3 | 6 | – | – | – | – |
| Total number of patients | 2,728 | 1,071 | 1,657 | 1,851 | 200 | 677 | 310 | 342 |
Figure 4Distribution of deceased PID patients by age at death and gender (n = 136). Only patients with known date of death were included.
Figure 5Diagnostic delay in the main PID categories (A–C). Total numbers of patients, median, and mean are shown below the graph. Median is marked as a black line; mean is marked as a cross. (A) Diagnostic delay in WAS, SDG, SCID, and XLA patients. (B) Diagnostic delay in CGD, AT, and NBS patients. (C) Diagnostic delay in HAE and CVID patients.
Figure 6Prevalence of PID in Russia by federal district. The numbers represent prevalence per 100,000 people and total number of registered PID patients in each district. The registered number includes living and deceased patients.
Figure 7Annual PID incidence and numbers of newly diagnosed PID cases. Incidence is presented as the number of PID born each year per 100,000 newborns (shown as black line); newly diagnosed PID cases (columns) are presented as the number of patients registered in each year. Note that the lower number of patients in 2019 represents a lag in patients' registration into the database.
Distribution of patients by individual disorders/genetic defects.
| MEFV | 31 |
| MVK | 26 |
| NLRP3 | 22 |
| PSTPIP1 | 8 |
| TNFRSF1A | 8 |
| polygenic: PSMB8, PSMA5, PSMC5 | 1 |
| NLRP1 | 1 |
| POMP | 1 |
| PLCG2 | 1 |
| IL36RN | 1 |
| ADA2 | 3 |
| IFIH1, GOF | 3 |
| TMEM173 | 2 |
| ADAR1 | 1 |
| CXCR4 | 9 |
| STAT1, AD LOF | 1 |
| STAT1, AR LOF | 1 |
| IL12RB1 | 3 |
| IFNGR2 | 1 |
| IFNGR1 | 1 |
| STAT1, GOF, del3p25.3 | 1 |
| STAT1, GOF | 6 |
| STAT2 | 1 |
| NBAS | 2 |
| TCIRG1 | 1 |
| CFHR3 | 1 |
| 178/341 | |
| SERPING1 | 178 |
| 79/107 (74%) | |
| ELANE | 32 |
| GFI1 | 1 |
| G6PC3 | 1 |
| SBDS | 38 |
| USB1 | 1 |
| SMARCD2 | 1 |
| CSF3R | 1 |
| Tafazzin (TAZ) | 1 |
| WAS, GOF | 2 |
| SLC37A4 | 1 |
| 101/135 (75%) | |
| CYBB | 91 |
| CYBB, 4XXY | 1 |
| CYBA | 6 |
| NCF1 | 2 |
| NCF2 | 1 |
| GATA2 | 3 |
| ITGB2 | 1 |
| RAC2 | 1 |
| PRF1 | 1 |
| UNC13D | 8 |
| STXBP2 | 4 |
| LYST | 2 |
| RAB27A | 1 |
| FOXP3 | 8 |
| CTLA4 | 11 |
| CTLA4, del2q.33.2 | 1 |
| LRBA | 2 |
| STAT3, GOF | 4 |
| AIRE | 11 |
| CASP10 | 2 |
| FAS | 25 |
| IL10RA | 1 |
| XIAP/ BIRC4 | 16 |
| SH2D1A | 10 |
| RLTPR | 2 |
| WAS | 154 |
| IKBKG | 3 |
| IKBA | 1 |
| NBN | 75 |
| ATM | 53 |
| polygenic: ATM, NFKB1 | 1 |
| ATM, dup4p16.3 | 1 |
| BLM (RECQL3) | 2 |
| DNMT3B (ICF1) | 2 |
| MRE11 | 1 |
| ZBTB24 (ICF2) | 2 |
| 22q11.2DS | 106 |
| CHD7 | 1 |
| SEMA3E | 1 |
| SMARCAL1 | 5 |
| RMRP | 4 |
| STAT3, LOF | 21 |
| SPINK5 | 4 |
| CCBE1 | 1 |
| KMT2D | 15 |
| 10p.13-10p.14DS | 1 |
| 11q23del | 1 |
| psu dic (21;Y)(q22;q11.1); 21q11.1, 21q21.1-q22.12, 21q22.3 (including IL10RB, IFNAR2) | 1 |
| 46XX-21 | 1 |
| 11q13.5-q23.1 | 1 |
| 114/155 (74%) | |
| BTK | 113 |
| BTK, del11p | 1 |
| NFKB1 | 6 |
| NFKB1, del 4q22.3-q25 | 1 |
| NFKB2 | 1 |
| PIK3CD, GOF | 8 |
| PIK3R1, GOF | 5 |
| AICDA | 1 |
| TCF3 | 2 |
| TNFRSF13B (TACI) | 5 |
| TRNT1 | 1 |
| 92/137 (67%) | |
| RAG1 | 16 |
| RAG2 | 4 |
| ADA | 6 |
| ARTEMIS | 8 |
| IL2RG | 44 |
| IL7RA | 2 |
| JAK3 | 6 |
| LIG4 | 4 |
| NHEJ1 | 1 |
| CORO1A | 1 |
| 31 | |
| PNP | 1 |
| CARD11 | 1 |
| CD40LG | 24 |
| DOCK2 | 1 |
| DOCK8 | 3 |
| RFXANK | 1 |
| NTRK1 | 1 |
| SCN9A | 2 |
| XRCC4 | 1 |
| KRAS | 5 |
| NRAS | 1 |
Patients with complex phenotype; GOF, gain-of-function variant; LOF, loss-of-function variant.
Figure 8Inheritance of PID in Russia and most frequent genes with homozygous mutations.