Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis
Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational stu...
Ausführliche Beschreibung
Autor*in: |
Chakrabarti, Rituparna [verfasserIn] Duddu, Sushmitha [verfasserIn] Tiwari, Ashutosh [verfasserIn] Naidu, K. Tejaswi [verfasserIn] Sharma, Pooja [verfasserIn] Chakravorty, Nishant [verfasserIn] Shukla, Praphulla Chandra [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2023 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Life sciences - New York, NY [u.a.] : Elsevier Science, 1963, 321 |
---|---|
Übergeordnetes Werk: |
volume:321 |
DOI / URN: |
10.1016/j.lfs.2023.121620 |
---|
Katalog-ID: |
ELV060142316 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV060142316 | ||
003 | DE-627 | ||
005 | 20230926125545.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230705s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.lfs.2023.121620 |2 doi | |
035 | |a (DE-627)ELV060142316 | ||
035 | |a (ELSEVIER)S0024-3205(23)00254-0 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | 4 | |a 570 |q VZ |
084 | |a BIODIV |q DE-30 |2 fid | ||
084 | |a 42.00 |2 bkl | ||
084 | |a 44.40 |2 bkl | ||
100 | 1 | |a Chakrabarti, Rituparna |e verfasserin |4 aut | |
245 | 1 | 0 | |a Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis |
264 | 1 | |c 2023 | |
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. | ||
650 | 4 | |a Atherosclerosis | |
650 | 4 | |a NKT cells | |
650 | 4 | |a iNKT | |
650 | 4 | |a vNKT | |
650 | 4 | |a Meta-analysis | |
700 | 1 | |a Duddu, Sushmitha |e verfasserin |4 aut | |
700 | 1 | |a Tiwari, Ashutosh |e verfasserin |4 aut | |
700 | 1 | |a Naidu, K. Tejaswi |e verfasserin |4 aut | |
700 | 1 | |a Sharma, Pooja |e verfasserin |4 aut | |
700 | 1 | |a Chakravorty, Nishant |e verfasserin |4 aut | |
700 | 1 | |a Shukla, Praphulla Chandra |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Life sciences |d New York, NY [u.a.] : Elsevier Science, 1963 |g 321 |h Online-Ressource |w (DE-627)320515605 |w (DE-600)2013911-1 |w (DE-576)09095503X |x 1879-0631 |7 nnns |
773 | 1 | 8 | |g volume:321 |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a FID-BIODIV | ||
912 | |a SSG-OLC-PHA | ||
912 | |a SSG-OPC-PHA | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_90 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_101 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_187 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_702 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2004 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2007 | ||
912 | |a GBV_ILN_2008 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2010 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a GBV_ILN_2021 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2026 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2049 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2056 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a GBV_ILN_2061 | ||
912 | |a GBV_ILN_2064 | ||
912 | |a GBV_ILN_2088 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a GBV_ILN_2110 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2112 | ||
912 | |a GBV_ILN_2122 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a GBV_ILN_2152 | ||
912 | |a GBV_ILN_2153 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a GBV_ILN_2336 | ||
912 | |a GBV_ILN_2470 | ||
912 | |a GBV_ILN_2507 | ||
912 | |a GBV_ILN_4035 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4242 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4251 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4326 | ||
912 | |a GBV_ILN_4333 | ||
912 | |a GBV_ILN_4334 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4393 | ||
912 | |a GBV_ILN_4700 | ||
936 | b | k | |a 42.00 |j Biologie: Allgemeines |q VZ |
936 | b | k | |a 44.40 |j Pharmazie |j Pharmazeutika |q VZ |
951 | |a AR | ||
952 | |d 321 |
author_variant |
r c rc s d sd a t at k t n kt ktn p s ps n c nc p c s pc pcs |
---|---|
matchkey_str |
article:18790631:2023----::auakleteladhivratustrmtahrs |
hierarchy_sort_str |
2023 |
bklnumber |
42.00 44.40 |
publishDate |
2023 |
allfields |
10.1016/j.lfs.2023.121620 doi (DE-627)ELV060142316 (ELSEVIER)S0024-3205(23)00254-0 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl Chakrabarti, Rituparna verfasserin aut Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. Atherosclerosis NKT cells iNKT vNKT Meta-analysis Duddu, Sushmitha verfasserin aut Tiwari, Ashutosh verfasserin aut Naidu, K. Tejaswi verfasserin aut Sharma, Pooja verfasserin aut Chakravorty, Nishant verfasserin aut Shukla, Praphulla Chandra verfasserin aut Enthalten in Life sciences New York, NY [u.a.] : Elsevier Science, 1963 321 Online-Ressource (DE-627)320515605 (DE-600)2013911-1 (DE-576)09095503X 1879-0631 nnns volume:321 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 Biologie: Allgemeines VZ 44.40 Pharmazie Pharmazeutika VZ AR 321 |
spelling |
10.1016/j.lfs.2023.121620 doi (DE-627)ELV060142316 (ELSEVIER)S0024-3205(23)00254-0 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl Chakrabarti, Rituparna verfasserin aut Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. Atherosclerosis NKT cells iNKT vNKT Meta-analysis Duddu, Sushmitha verfasserin aut Tiwari, Ashutosh verfasserin aut Naidu, K. Tejaswi verfasserin aut Sharma, Pooja verfasserin aut Chakravorty, Nishant verfasserin aut Shukla, Praphulla Chandra verfasserin aut Enthalten in Life sciences New York, NY [u.a.] : Elsevier Science, 1963 321 Online-Ressource (DE-627)320515605 (DE-600)2013911-1 (DE-576)09095503X 1879-0631 nnns volume:321 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 Biologie: Allgemeines VZ 44.40 Pharmazie Pharmazeutika VZ AR 321 |
allfields_unstemmed |
10.1016/j.lfs.2023.121620 doi (DE-627)ELV060142316 (ELSEVIER)S0024-3205(23)00254-0 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl Chakrabarti, Rituparna verfasserin aut Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. Atherosclerosis NKT cells iNKT vNKT Meta-analysis Duddu, Sushmitha verfasserin aut Tiwari, Ashutosh verfasserin aut Naidu, K. Tejaswi verfasserin aut Sharma, Pooja verfasserin aut Chakravorty, Nishant verfasserin aut Shukla, Praphulla Chandra verfasserin aut Enthalten in Life sciences New York, NY [u.a.] : Elsevier Science, 1963 321 Online-Ressource (DE-627)320515605 (DE-600)2013911-1 (DE-576)09095503X 1879-0631 nnns volume:321 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 Biologie: Allgemeines VZ 44.40 Pharmazie Pharmazeutika VZ AR 321 |
allfieldsGer |
10.1016/j.lfs.2023.121620 doi (DE-627)ELV060142316 (ELSEVIER)S0024-3205(23)00254-0 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl Chakrabarti, Rituparna verfasserin aut Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. Atherosclerosis NKT cells iNKT vNKT Meta-analysis Duddu, Sushmitha verfasserin aut Tiwari, Ashutosh verfasserin aut Naidu, K. Tejaswi verfasserin aut Sharma, Pooja verfasserin aut Chakravorty, Nishant verfasserin aut Shukla, Praphulla Chandra verfasserin aut Enthalten in Life sciences New York, NY [u.a.] : Elsevier Science, 1963 321 Online-Ressource (DE-627)320515605 (DE-600)2013911-1 (DE-576)09095503X 1879-0631 nnns volume:321 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 Biologie: Allgemeines VZ 44.40 Pharmazie Pharmazeutika VZ AR 321 |
allfieldsSound |
10.1016/j.lfs.2023.121620 doi (DE-627)ELV060142316 (ELSEVIER)S0024-3205(23)00254-0 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl Chakrabarti, Rituparna verfasserin aut Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. Atherosclerosis NKT cells iNKT vNKT Meta-analysis Duddu, Sushmitha verfasserin aut Tiwari, Ashutosh verfasserin aut Naidu, K. Tejaswi verfasserin aut Sharma, Pooja verfasserin aut Chakravorty, Nishant verfasserin aut Shukla, Praphulla Chandra verfasserin aut Enthalten in Life sciences New York, NY [u.a.] : Elsevier Science, 1963 321 Online-Ressource (DE-627)320515605 (DE-600)2013911-1 (DE-576)09095503X 1879-0631 nnns volume:321 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.00 Biologie: Allgemeines VZ 44.40 Pharmazie Pharmazeutika VZ AR 321 |
language |
English |
source |
Enthalten in Life sciences 321 volume:321 |
sourceStr |
Enthalten in Life sciences 321 volume:321 |
format_phy_str_mv |
Article |
bklname |
Biologie: Allgemeines Pharmazie Pharmazeutika |
institution |
findex.gbv.de |
topic_facet |
Atherosclerosis NKT cells iNKT vNKT Meta-analysis |
dewey-raw |
570 |
isfreeaccess_bool |
false |
container_title |
Life sciences |
authorswithroles_txt_mv |
Chakrabarti, Rituparna @@aut@@ Duddu, Sushmitha @@aut@@ Tiwari, Ashutosh @@aut@@ Naidu, K. Tejaswi @@aut@@ Sharma, Pooja @@aut@@ Chakravorty, Nishant @@aut@@ Shukla, Praphulla Chandra @@aut@@ |
publishDateDaySort_date |
2023-01-01T00:00:00Z |
hierarchy_top_id |
320515605 |
dewey-sort |
3570 |
id |
ELV060142316 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV060142316</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230926125545.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230705s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.lfs.2023.121620</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV060142316</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0024-3205(23)00254-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chakrabarti, Rituparna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Atherosclerosis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">NKT cells</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">iNKT</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vNKT</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meta-analysis</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duddu, Sushmitha</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tiwari, Ashutosh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Naidu, K. Tejaswi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sharma, Pooja</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chakravorty, Nishant</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shukla, Praphulla Chandra</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Life sciences</subfield><subfield code="d">New York, NY [u.a.] : Elsevier Science, 1963</subfield><subfield code="g">321</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)320515605</subfield><subfield code="w">(DE-600)2013911-1</subfield><subfield code="w">(DE-576)09095503X</subfield><subfield code="x">1879-0631</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:321</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.00</subfield><subfield code="j">Biologie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.40</subfield><subfield code="j">Pharmazie</subfield><subfield code="j">Pharmazeutika</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">321</subfield></datafield></record></collection>
|
author |
Chakrabarti, Rituparna |
spellingShingle |
Chakrabarti, Rituparna ddc 570 fid BIODIV bkl 42.00 bkl 44.40 misc Atherosclerosis misc NKT cells misc iNKT misc vNKT misc Meta-analysis Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis |
authorStr |
Chakrabarti, Rituparna |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)320515605 |
format |
electronic Article |
dewey-ones |
570 - Life sciences; biology |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1879-0631 |
topic_title |
570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis Atherosclerosis NKT cells iNKT vNKT Meta-analysis |
topic |
ddc 570 fid BIODIV bkl 42.00 bkl 44.40 misc Atherosclerosis misc NKT cells misc iNKT misc vNKT misc Meta-analysis |
topic_unstemmed |
ddc 570 fid BIODIV bkl 42.00 bkl 44.40 misc Atherosclerosis misc NKT cells misc iNKT misc vNKT misc Meta-analysis |
topic_browse |
ddc 570 fid BIODIV bkl 42.00 bkl 44.40 misc Atherosclerosis misc NKT cells misc iNKT misc vNKT misc Meta-analysis |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Life sciences |
hierarchy_parent_id |
320515605 |
dewey-tens |
570 - Life sciences; biology |
hierarchy_top_title |
Life sciences |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)320515605 (DE-600)2013911-1 (DE-576)09095503X |
title |
Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis |
ctrlnum |
(DE-627)ELV060142316 (ELSEVIER)S0024-3205(23)00254-0 |
title_full |
Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis |
author_sort |
Chakrabarti, Rituparna |
journal |
Life sciences |
journalStr |
Life sciences |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
500 - Science |
recordtype |
marc |
publishDateSort |
2023 |
contenttype_str_mv |
zzz |
author_browse |
Chakrabarti, Rituparna Duddu, Sushmitha Tiwari, Ashutosh Naidu, K. Tejaswi Sharma, Pooja Chakravorty, Nishant Shukla, Praphulla Chandra |
container_volume |
321 |
class |
570 VZ BIODIV DE-30 fid 42.00 bkl 44.40 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Chakrabarti, Rituparna |
doi_str_mv |
10.1016/j.lfs.2023.121620 |
dewey-full |
570 |
author2-role |
verfasserin |
title_sort |
natural killer t cells and the invariant subset promote atherosclerosis: a meta-analysis |
title_auth |
Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis |
abstract |
Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. |
abstractGer |
Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. |
abstract_unstemmed |
Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 |
title_short |
Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis |
remote_bool |
true |
author2 |
Duddu, Sushmitha Tiwari, Ashutosh Naidu, K. Tejaswi Sharma, Pooja Chakravorty, Nishant Shukla, Praphulla Chandra |
author2Str |
Duddu, Sushmitha Tiwari, Ashutosh Naidu, K. Tejaswi Sharma, Pooja Chakravorty, Nishant Shukla, Praphulla Chandra |
ppnlink |
320515605 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1016/j.lfs.2023.121620 |
up_date |
2024-07-06T23:35:39.182Z |
_version_ |
1803874666213801984 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV060142316</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230926125545.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230705s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.lfs.2023.121620</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV060142316</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0024-3205(23)00254-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chakrabarti, Rituparna</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Natural Killer T cells and the invariant subset promote atherosclerosis: A meta-analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Aims: Natural Killer T (NKT) cells are reported to be both pro- and anti-atherosclerotic. With this meta-analysis, we evaluated the NKT population and their subsets in regulating the atherosclerotic disease in mice.Main methods: Eighteen pre-clinical (mice, n = 1276) and 6 clinical observational studies (humans, n = 116) met the eligibility criteria for inclusion. Random effects model was used and standard mean difference (SMD) was calculated for the cell counts and aortic lesion area.Key findings: Lesion area decreased in the absence of whole NKT cell population (−1.33[95%CI, −2.14, −0.52]), and in the absence of only iNKT subset (−0.66[95%CI, −1.69, 0.37]). However, lesion area increased after over-expression/activation of iNKTs (1.40[95%CI, 0.28, 2.52]). Atherogenic diet (AD) or high fat diet (HFD) increased the number of NKT cells (2.51[95%CI, 1.42, 3.61]), whereas the iNKT cell numbers and iNKT cell-specific gene expression decreased in mice (−2.04[95%CI, −3.34, −0.75]) and atherosclerotic patients (−1.81[95 % CI, −2.89, −0.74]).Significance: Here we show that, NKT and iNKT cells promote atherosclerosis. In general, NKT cell population increases with the progression of the plaque in mice and the numbers of iNKT cells reduce once the disease is established both in mice and humans.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Atherosclerosis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">NKT cells</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">iNKT</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vNKT</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meta-analysis</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duddu, Sushmitha</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tiwari, Ashutosh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Naidu, K. Tejaswi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sharma, Pooja</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chakravorty, Nishant</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shukla, Praphulla Chandra</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Life sciences</subfield><subfield code="d">New York, NY [u.a.] : Elsevier Science, 1963</subfield><subfield code="g">321</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)320515605</subfield><subfield code="w">(DE-600)2013911-1</subfield><subfield code="w">(DE-576)09095503X</subfield><subfield code="x">1879-0631</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:321</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.00</subfield><subfield code="j">Biologie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.40</subfield><subfield code="j">Pharmazie</subfield><subfield code="j">Pharmazeutika</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">321</subfield></datafield></record></collection>
|
score |
7.400613 |