Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana

Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Alexander Kwarteng [verfasserIn] Solomon Wireko [verfasserIn] Samuel Opoku Asiedu [verfasserIn] Priscilla Kini [verfasserIn] Bill Clinton Aglomasa [verfasserIn] Emmanuel Kobla Atsu Amewu [verfasserIn] Ebenezer Asiedu [verfasserIn] Kennedy Gyau Boahen [verfasserIn] Katherine Ryan Amato [verfasserIn] Dorcas Obiri-Yeboah [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin

Übergeordnetes Werk:	In: Scientific African - Elsevier, 2018, 16(2022), Seite e01237-
Übergeordnetes Werk:	volume:16 ; year:2022 ; pages:e01237-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.sciaf.2022.e01237

Katalog-ID:	DOAJ001080865

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ001080865
003	DE-627
005	20230307021249.0
007	cr uuu---uuuuu
008	230225s2022 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.sciaf.2022.e01237 \|2 doi
035			\|a (DE-627)DOAJ001080865
035			\|a (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	0		\|a Alexander Kwarteng \|e verfasserin \|4 aut
245	1	0	\|a Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection.
650		4	\|a Diversity
650		4	\|a Filarial lymphedema
650		4	\|a Ghana
650		4	\|a MALDI-TOF MS
650		4	\|a Microbiota
650		4	\|a Skin
653		0	\|a Science
653		0	\|a Q
700	0		\|a Solomon Wireko \|e verfasserin \|4 aut
700	0		\|a Samuel Opoku Asiedu \|e verfasserin \|4 aut
700	0		\|a Priscilla Kini \|e verfasserin \|4 aut
700	0		\|a Bill Clinton Aglomasa \|e verfasserin \|4 aut
700	0		\|a Emmanuel Kobla Atsu Amewu \|e verfasserin \|4 aut
700	0		\|a Ebenezer Asiedu \|e verfasserin \|4 aut
700	0		\|a Kennedy Gyau Boahen \|e verfasserin \|4 aut
700	0		\|a Katherine Ryan Amato \|e verfasserin \|4 aut
700	0		\|a Dorcas Obiri-Yeboah \|e verfasserin \|4 aut
773	0	8	\|i In \|t Scientific African \|d Elsevier, 2018 \|g 16(2022), Seite e01237- \|w (DE-627)1047200163 \|x 24682276 \|7 nnns
773	1	8	\|g volume:16 \|g year:2022 \|g pages:e01237-
856	4	0	\|u https://doi.org/10.1016/j.sciaf.2022.e01237 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc \|z kostenfrei
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S2468227622001442 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2468-2276 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
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_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
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_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 16 \|j 2022 \|h e01237-

Indexfelder

author_variant	a k ak s w sw s o a soa p k pk b c a bca e k a a ekaa e a ea k g b kgb k r a kra d o y doy
matchkey_str	article:24682276:2022----::hfiteknirboemnidvdasrsnigihiailypeeaoprdoof
hierarchy_sort_str	2022
publishDate	2022
allfields	10.1016/j.sciaf.2022.e01237 doi (DE-627)DOAJ001080865 (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc DE-627 ger DE-627 rakwb eng Alexander Kwarteng verfasserin aut Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection. Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin Science Q Solomon Wireko verfasserin aut Samuel Opoku Asiedu verfasserin aut Priscilla Kini verfasserin aut Bill Clinton Aglomasa verfasserin aut Emmanuel Kobla Atsu Amewu verfasserin aut Ebenezer Asiedu verfasserin aut Kennedy Gyau Boahen verfasserin aut Katherine Ryan Amato verfasserin aut Dorcas Obiri-Yeboah verfasserin aut In Scientific African Elsevier, 2018 16(2022), Seite e01237- (DE-627)1047200163 24682276 nnns volume:16 year:2022 pages:e01237- https://doi.org/10.1016/j.sciaf.2022.e01237 kostenfrei https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc kostenfrei http://www.sciencedirect.com/science/article/pii/S2468227622001442 kostenfrei https://doaj.org/toc/2468-2276 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 e01237-
spelling	10.1016/j.sciaf.2022.e01237 doi (DE-627)DOAJ001080865 (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc DE-627 ger DE-627 rakwb eng Alexander Kwarteng verfasserin aut Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection. Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin Science Q Solomon Wireko verfasserin aut Samuel Opoku Asiedu verfasserin aut Priscilla Kini verfasserin aut Bill Clinton Aglomasa verfasserin aut Emmanuel Kobla Atsu Amewu verfasserin aut Ebenezer Asiedu verfasserin aut Kennedy Gyau Boahen verfasserin aut Katherine Ryan Amato verfasserin aut Dorcas Obiri-Yeboah verfasserin aut In Scientific African Elsevier, 2018 16(2022), Seite e01237- (DE-627)1047200163 24682276 nnns volume:16 year:2022 pages:e01237- https://doi.org/10.1016/j.sciaf.2022.e01237 kostenfrei https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc kostenfrei http://www.sciencedirect.com/science/article/pii/S2468227622001442 kostenfrei https://doaj.org/toc/2468-2276 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 e01237-
allfields_unstemmed	10.1016/j.sciaf.2022.e01237 doi (DE-627)DOAJ001080865 (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc DE-627 ger DE-627 rakwb eng Alexander Kwarteng verfasserin aut Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection. Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin Science Q Solomon Wireko verfasserin aut Samuel Opoku Asiedu verfasserin aut Priscilla Kini verfasserin aut Bill Clinton Aglomasa verfasserin aut Emmanuel Kobla Atsu Amewu verfasserin aut Ebenezer Asiedu verfasserin aut Kennedy Gyau Boahen verfasserin aut Katherine Ryan Amato verfasserin aut Dorcas Obiri-Yeboah verfasserin aut In Scientific African Elsevier, 2018 16(2022), Seite e01237- (DE-627)1047200163 24682276 nnns volume:16 year:2022 pages:e01237- https://doi.org/10.1016/j.sciaf.2022.e01237 kostenfrei https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc kostenfrei http://www.sciencedirect.com/science/article/pii/S2468227622001442 kostenfrei https://doaj.org/toc/2468-2276 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 e01237-
allfieldsGer	10.1016/j.sciaf.2022.e01237 doi (DE-627)DOAJ001080865 (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc DE-627 ger DE-627 rakwb eng Alexander Kwarteng verfasserin aut Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection. Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin Science Q Solomon Wireko verfasserin aut Samuel Opoku Asiedu verfasserin aut Priscilla Kini verfasserin aut Bill Clinton Aglomasa verfasserin aut Emmanuel Kobla Atsu Amewu verfasserin aut Ebenezer Asiedu verfasserin aut Kennedy Gyau Boahen verfasserin aut Katherine Ryan Amato verfasserin aut Dorcas Obiri-Yeboah verfasserin aut In Scientific African Elsevier, 2018 16(2022), Seite e01237- (DE-627)1047200163 24682276 nnns volume:16 year:2022 pages:e01237- https://doi.org/10.1016/j.sciaf.2022.e01237 kostenfrei https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc kostenfrei http://www.sciencedirect.com/science/article/pii/S2468227622001442 kostenfrei https://doaj.org/toc/2468-2276 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 e01237-
allfieldsSound	10.1016/j.sciaf.2022.e01237 doi (DE-627)DOAJ001080865 (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc DE-627 ger DE-627 rakwb eng Alexander Kwarteng verfasserin aut Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection. Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin Science Q Solomon Wireko verfasserin aut Samuel Opoku Asiedu verfasserin aut Priscilla Kini verfasserin aut Bill Clinton Aglomasa verfasserin aut Emmanuel Kobla Atsu Amewu verfasserin aut Ebenezer Asiedu verfasserin aut Kennedy Gyau Boahen verfasserin aut Katherine Ryan Amato verfasserin aut Dorcas Obiri-Yeboah verfasserin aut In Scientific African Elsevier, 2018 16(2022), Seite e01237- (DE-627)1047200163 24682276 nnns volume:16 year:2022 pages:e01237- https://doi.org/10.1016/j.sciaf.2022.e01237 kostenfrei https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc kostenfrei http://www.sciencedirect.com/science/article/pii/S2468227622001442 kostenfrei https://doaj.org/toc/2468-2276 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2022 e01237-
language	English
source	In Scientific African 16(2022), Seite e01237- volume:16 year:2022 pages:e01237-
sourceStr	In Scientific African 16(2022), Seite e01237- volume:16 year:2022 pages:e01237-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin Science Q
isfreeaccess_bool	true
container_title	Scientific African
authorswithroles_txt_mv	Alexander Kwarteng @@aut@@ Solomon Wireko @@aut@@ Samuel Opoku Asiedu @@aut@@ Priscilla Kini @@aut@@ Bill Clinton Aglomasa @@aut@@ Emmanuel Kobla Atsu Amewu @@aut@@ Ebenezer Asiedu @@aut@@ Kennedy Gyau Boahen @@aut@@ Katherine Ryan Amato @@aut@@ Dorcas Obiri-Yeboah @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	1047200163
id	DOAJ001080865
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">DOAJ001080865</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307021249.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sciaf.2022.e01237</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ001080865</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc</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">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Alexander Kwarteng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</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">Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diversity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Filarial lymphedema</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ghana</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MALDI-TOF MS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Microbiota</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Skin</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Q</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Solomon Wireko</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Samuel Opoku Asiedu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Priscilla Kini</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bill Clinton Aglomasa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Emmanuel Kobla Atsu Amewu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ebenezer Asiedu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kennedy Gyau Boahen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Katherine Ryan Amato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Dorcas Obiri-Yeboah</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Scientific African</subfield><subfield code="d">Elsevier, 2018</subfield><subfield code="g">16(2022), Seite e01237-</subfield><subfield code="w">(DE-627)1047200163</subfield><subfield code="x">24682276</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:e01237-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sciaf.2022.e01237</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2468227622001442</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2468-2276</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</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_39</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_63</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_95</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_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</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_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</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_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2086</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</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_4126</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_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_4335</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_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2022</subfield><subfield code="h">e01237-</subfield></datafield></record></collection>
author	Alexander Kwarteng
spellingShingle	Alexander Kwarteng misc Diversity misc Filarial lymphedema misc Ghana misc MALDI-TOF MS misc Microbiota misc Skin misc Science misc Q Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana
authorStr	Alexander Kwarteng
ppnlink_with_tag_str_mv	@@773@@(DE-627)1047200163
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
illustrated	Not Illustrated
issn	24682276
topic_title	Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana Diversity Filarial lymphedema Ghana MALDI-TOF MS Microbiota Skin
topic	misc Diversity misc Filarial lymphedema misc Ghana misc MALDI-TOF MS misc Microbiota misc Skin misc Science misc Q
topic_unstemmed	misc Diversity misc Filarial lymphedema misc Ghana misc MALDI-TOF MS misc Microbiota misc Skin misc Science misc Q
topic_browse	misc Diversity misc Filarial lymphedema misc Ghana misc MALDI-TOF MS misc Microbiota misc Skin misc Science misc Q
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Scientific African
hierarchy_parent_id	1047200163
hierarchy_top_title	Scientific African
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1047200163
title	Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana
ctrlnum	(DE-627)DOAJ001080865 (DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc
title_full	Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana
author_sort	Alexander Kwarteng
journal	Scientific African
journalStr	Scientific African
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
author_browse	Alexander Kwarteng Solomon Wireko Samuel Opoku Asiedu Priscilla Kini Bill Clinton Aglomasa Emmanuel Kobla Atsu Amewu Ebenezer Asiedu Kennedy Gyau Boahen Katherine Ryan Amato Dorcas Obiri-Yeboah
container_volume	16
format_se	Elektronische Aufsätze
author-letter	Alexander Kwarteng
doi_str_mv	10.1016/j.sciaf.2022.e01237
author2-role	verfasserin
title_sort	shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in ghana
title_auth	Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana
abstract	Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection.
abstractGer	Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection.
abstract_unstemmed	Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana
url	https://doi.org/10.1016/j.sciaf.2022.e01237 https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc http://www.sciencedirect.com/science/article/pii/S2468227622001442 https://doaj.org/toc/2468-2276
remote_bool	true
author2	Solomon Wireko Samuel Opoku Asiedu Priscilla Kini Bill Clinton Aglomasa Emmanuel Kobla Atsu Amewu Ebenezer Asiedu Kennedy Gyau Boahen Katherine Ryan Amato Dorcas Obiri-Yeboah
author2Str	Solomon Wireko Samuel Opoku Asiedu Priscilla Kini Bill Clinton Aglomasa Emmanuel Kobla Atsu Amewu Ebenezer Asiedu Kennedy Gyau Boahen Katherine Ryan Amato Dorcas Obiri-Yeboah
ppnlink	1047200163
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.sciaf.2022.e01237
up_date	2024-07-03T18:18:17.652Z
_version_	1803582908820094976
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">DOAJ001080865</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307021249.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230225s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sciaf.2022.e01237</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ001080865</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJe4d4dd33b24944cf89f2b14b9fbf7ffc</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">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Alexander Kwarteng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</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">Background: Lymphatic filariasis (LF) is a debilitating neglected tropical disease that remains a major public challenge in endemic countries. In addition to providing mass drugs administration (ivermectin, albendazole and diethylcarbamazine) to reduce parasite burden in endemic communities, there is also a need to mitigate the challenges associated with lymphedema progression. Filarial lymphedema is known to be complicated by secondary bacterial infections; however, this is yet to receive considerable attention in LF-endemic communities in rural Ghana. Thus, the focus of this study was to understand the skin microbiome of individuals presenting with filarial lymphedema over a period. Methods: This longitudinal study employed culture and Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) to characterize the microbiota of filarial lymphedema lesions over 24 months follow-ups and considered how different it is from the skin bacterial composition of non-filarial individuals described previously in literature. Results: The result reveals that filarial lymphedema lesions had four main phyla: Firmicutes (69.7%), Proteobacteria (16.6%), Actinobacteria (13.3%), and Bacteroidetes (0.3%). Firmicutes presented the highest abundance. There were observable differences in the distribution of Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria, with the Firmicutes and Proteobacteria phyla enriched while the Bacteroidetes and Actinobacteria were markedly diminished in the filarial lymphedema lesions, relative to healthy skin. Propionibacterium and Corynebacterium, which are usually resident and abundant in healthy skin, were underrepresented in the skin from lymphedema lesions. Most of the taxa found in the skin from lymphedema lesions are not the typical organisms in human skin instead they were potentially pathogenic, with the Streptococcus, Acinetobacter, Klebsiella, Pseudomonas, Bacillus, Corynebacterium, Micrococcus, Enterococcus, Proteus and Staphylococcus genera being topmost isolates. Conclusion: Our data revealed a significant shift of the bacterial population with the introduction of potentially pathogenic bacteria to compete with the healthy skin resident microbiota during LF infection.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diversity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Filarial lymphedema</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ghana</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MALDI-TOF MS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Microbiota</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Skin</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Q</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Solomon Wireko</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Samuel Opoku Asiedu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Priscilla Kini</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bill Clinton Aglomasa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Emmanuel Kobla Atsu Amewu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ebenezer Asiedu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kennedy Gyau Boahen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Katherine Ryan Amato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Dorcas Obiri-Yeboah</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Scientific African</subfield><subfield code="d">Elsevier, 2018</subfield><subfield code="g">16(2022), Seite e01237-</subfield><subfield code="w">(DE-627)1047200163</subfield><subfield code="x">24682276</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:e01237-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sciaf.2022.e01237</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/e4d4dd33b24944cf89f2b14b9fbf7ffc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2468227622001442</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2468-2276</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</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_39</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_63</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_95</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_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</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_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</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_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2086</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</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_4126</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_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_4335</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_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2022</subfield><subfield code="h">e01237-</subfield></datafield></record></collection>
score	7.3998337

Nicht das Richtige dabei?

Schreiben Sie uns!

Shift in the skin microbiome among individuals presenting with filarial lymphedema compared to non-filarial healthy individuals in Ghana

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?