The aim of this work is to map the susceptibility of sites to landslides. To assess the susceptibility of the zone, GIS techniques were used. Susceptibility factors are selected and split into two groups: active and p...The aim of this work is to map the susceptibility of sites to landslides. To assess the susceptibility of the zone, GIS techniques were used. Susceptibility factors are selected and split into two groups: active and passive factors. Passive factors regroup all the intrinsic conditions existing on the field at all times. The active factors or triggering factors are present sporadically and are added to the passive factors to trigger a landslide. With the weighted overlay method using ArcGIS?, four scenarios have been developed. A first scenario where only passive factors are combined and three scenarios for which we have for each scenario the passive factors combined with an active factor. With these different scenarios, five levels of susceptibility are obtained in the zone. These levels range from very low to very high susceptibility. For the different scenarios, the results show that the zone consists mainly of very low to low susceptibility with at least 61% of the area, followed by moderate susceptibility (23.54% to 38.24%) and last land with high susceptibility to very high with less than 1% of the surface. Fields with high to very high susceptibility are located on the slopes of the hills. Among the active factors, only the rainfall significantly modifies the percentage of land susceptible to landslide but remains in the field of moderate susceptibility. The predicted susceptibilities are closer to the observed landslides around the Thies Cliff than to the Dias Horst.展开更多
Apoptosis preserves organismal homeostasis by selectively eliminating unnecessary or damaged cells, with accumulating evidence also suggesting that it activates regenerative pathways and facilitates tissue remodeling....Apoptosis preserves organismal homeostasis by selectively eliminating unnecessary or damaged cells, with accumulating evidence also suggesting that it activates regenerative pathways and facilitates tissue remodeling. To date, however, the regulatory mechanisms linking this form of programmed cell death to regeneration remain poorly defined, particularly in evolutionarily basal organisms. Using the sea cucumber (Apostichopus japonicus) as a model for intestinal regeneration, this study identified robust apoptotic activity across key regenerative stages. Pharmacological suppression of apoptosis during wound healing and mesenteric scaffold formation critically impaired intestinal regeneration. Quantitative proteomics using direct data-independent acquisition (DIA) revealed coordinated down-regulation of lipid metabolic pathways under apoptosis-inhibited conditions, with notable suppression of Ca^(2+)-independent phospholipase A2 (iPLA2), an enzyme typically up-regulated during successful regeneration. In parallel, expression of regeneration-associated factors WNT6 and EGFL7 was markedly reduced under apoptotic blockade. Targeted inhibition of iPLA2, EGFL7, or WNT6 each resulted in impaired mesenteric outgrowth and reduced proliferative activity within the regenerating intestinal primordia. Collectively, these findings suggest two potential mechanistic pathways: apoptosis-mediated regeneration of lipid metabolism via iPLA2 and apoptosis-dependent activation of WNT6/EGFL7 signaling. This study provides mechanistic insight into apoptosis-coupled regenerative processes in basal deuterostomes and expands the conceptual framework of programmed cell death in tissue renewal.展开更多
Dengue virus(DENV)remains a pervasive global health threat,further complicated by the occurrence of neutropenia-a distinct clinical feature indicative of an altered host immune response,closely correlated with progres...Dengue virus(DENV)remains a pervasive global health threat,further complicated by the occurrence of neutropenia-a distinct clinical feature indicative of an altered host immune response,closely correlated with progressive disease deterioration and increased severity.Nevertheless,the molecular mechanisms underlying dengue-associated neutropenia remain inadequately elucidated.In this study,the comprehensive plasma proteomic profiling of dengue fever(DF)patients,DF patients with neutropenia(DFN),and healthy controls(HC)was systematically analyzed using a deep dataindependent acquisition(DIA)workflow combined with LC-MS/MS analysis,to elucidate key cellular pathways and identify promising biomarkers.DFN patients exhibited significant dual hematological alterations,with notable changes in both platelet and neutrophil counts,reflecting a complex disturbance in hematological homeostasis during dengue progression.DIA analysis quantified 2475 proteins,revealing widespread proteomic alterations among the DF,DFN,and HC subjects.Differential analysis highlighted significant fluctuations in proteins related to cytoskeletal organization,metabolic regulation,and intracellular signaling.Enrichment analyses implicated pathways such as focal adhesion,platelet activation,and PI3K-Akt signaling.Machine learning methods further identified a panel of four biomarkers-CNST,DSTN,DUSP3,and PDIA5-with high predictive accuracy for dengue diagnosis and subgroup differentiation.In conclusion,this study advances our understanding of dengue’s plasma proteomic landscape and underscores the synergistic potential of DIA-based proteomics and machine learning in unveiling host-response mechanisms,thereby informing early diagnosis and targeted therapeutic strategies.展开更多
Gut microbiota(GM)exerts an indispensable effect in human health,especially in metabolism regulation.^(1)Recent studies have identified a potential association with osteoporosis.^(2–5)At the same time,GM intervention...Gut microbiota(GM)exerts an indispensable effect in human health,especially in metabolism regulation.^(1)Recent studies have identified a potential association with osteoporosis.^(2–5)At the same time,GM intervention,such as antibiotic treatment,^(6)fecal microbiota transplantation(FMT),^(7–8)supplement of probiotics^(9–10)and other means,will also subsequently affect bone metabolism.Further,GM dysbiosis was also mentioned as one of pathophysiological mechanism of osteoporosis,even written in the clinical diagnosis and treatment guidelines^(11)[Fig.1,based on Guidelines for the diagnosis and treatment of primary osteoporosis in China(2022)].展开更多
文摘The aim of this work is to map the susceptibility of sites to landslides. To assess the susceptibility of the zone, GIS techniques were used. Susceptibility factors are selected and split into two groups: active and passive factors. Passive factors regroup all the intrinsic conditions existing on the field at all times. The active factors or triggering factors are present sporadically and are added to the passive factors to trigger a landslide. With the weighted overlay method using ArcGIS?, four scenarios have been developed. A first scenario where only passive factors are combined and three scenarios for which we have for each scenario the passive factors combined with an active factor. With these different scenarios, five levels of susceptibility are obtained in the zone. These levels range from very low to very high susceptibility. For the different scenarios, the results show that the zone consists mainly of very low to low susceptibility with at least 61% of the area, followed by moderate susceptibility (23.54% to 38.24%) and last land with high susceptibility to very high with less than 1% of the surface. Fields with high to very high susceptibility are located on the slopes of the hills. Among the active factors, only the rainfall significantly modifies the percentage of land susceptible to landslide but remains in the field of moderate susceptibility. The predicted susceptibilities are closer to the observed landslides around the Thies Cliff than to the Dias Horst.
基金supported by the National Natural Science Foundation of China(32325050)Natural Science Foundation of Zhejiang Province(LQN25C190013)+2 种基金State Key Program of Natural Science Foundation of Ningbo(2023J005)General Projects of Zhejiang Provincial Department of Education(Y202456633)K.C.Wong Magna Fund in Ningbo University。
文摘Apoptosis preserves organismal homeostasis by selectively eliminating unnecessary or damaged cells, with accumulating evidence also suggesting that it activates regenerative pathways and facilitates tissue remodeling. To date, however, the regulatory mechanisms linking this form of programmed cell death to regeneration remain poorly defined, particularly in evolutionarily basal organisms. Using the sea cucumber (Apostichopus japonicus) as a model for intestinal regeneration, this study identified robust apoptotic activity across key regenerative stages. Pharmacological suppression of apoptosis during wound healing and mesenteric scaffold formation critically impaired intestinal regeneration. Quantitative proteomics using direct data-independent acquisition (DIA) revealed coordinated down-regulation of lipid metabolic pathways under apoptosis-inhibited conditions, with notable suppression of Ca^(2+)-independent phospholipase A2 (iPLA2), an enzyme typically up-regulated during successful regeneration. In parallel, expression of regeneration-associated factors WNT6 and EGFL7 was markedly reduced under apoptotic blockade. Targeted inhibition of iPLA2, EGFL7, or WNT6 each resulted in impaired mesenteric outgrowth and reduced proliferative activity within the regenerating intestinal primordia. Collectively, these findings suggest two potential mechanistic pathways: apoptosis-mediated regeneration of lipid metabolism via iPLA2 and apoptosis-dependent activation of WNT6/EGFL7 signaling. This study provides mechanistic insight into apoptosis-coupled regenerative processes in basal deuterostomes and expands the conceptual framework of programmed cell death in tissue renewal.
基金supported by National Key R&D Program of China(2023YFA0915600)Guangdong Basic and Applied Basic Research Foundation(2025B1515020010)+3 种基金Shenzhen Clinical Research Center for Emerging Infectious Diseases(LCYSSQ20220823091203007)Sanming Project of Medicine in Shenzhen(SZSM202311033)Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties(No.SZGSP011)Shenzhen High-level Hospital Construction Fund(XKJSCRGRK-006).
文摘Dengue virus(DENV)remains a pervasive global health threat,further complicated by the occurrence of neutropenia-a distinct clinical feature indicative of an altered host immune response,closely correlated with progressive disease deterioration and increased severity.Nevertheless,the molecular mechanisms underlying dengue-associated neutropenia remain inadequately elucidated.In this study,the comprehensive plasma proteomic profiling of dengue fever(DF)patients,DF patients with neutropenia(DFN),and healthy controls(HC)was systematically analyzed using a deep dataindependent acquisition(DIA)workflow combined with LC-MS/MS analysis,to elucidate key cellular pathways and identify promising biomarkers.DFN patients exhibited significant dual hematological alterations,with notable changes in both platelet and neutrophil counts,reflecting a complex disturbance in hematological homeostasis during dengue progression.DIA analysis quantified 2475 proteins,revealing widespread proteomic alterations among the DF,DFN,and HC subjects.Differential analysis highlighted significant fluctuations in proteins related to cytoskeletal organization,metabolic regulation,and intracellular signaling.Enrichment analyses implicated pathways such as focal adhesion,platelet activation,and PI3K-Akt signaling.Machine learning methods further identified a panel of four biomarkers-CNST,DSTN,DUSP3,and PDIA5-with high predictive accuracy for dengue diagnosis and subgroup differentiation.In conclusion,this study advances our understanding of dengue’s plasma proteomic landscape and underscores the synergistic potential of DIA-based proteomics and machine learning in unveiling host-response mechanisms,thereby informing early diagnosis and targeted therapeutic strategies.
基金supported by the National Key Research and Development Program(2021YFC2501700)the National Natural Science Foundation of China(82330078,82272554)Beijing Natural Science Foundation(7232214,L241067)。
文摘Gut microbiota(GM)exerts an indispensable effect in human health,especially in metabolism regulation.^(1)Recent studies have identified a potential association with osteoporosis.^(2–5)At the same time,GM intervention,such as antibiotic treatment,^(6)fecal microbiota transplantation(FMT),^(7–8)supplement of probiotics^(9–10)and other means,will also subsequently affect bone metabolism.Further,GM dysbiosis was also mentioned as one of pathophysiological mechanism of osteoporosis,even written in the clinical diagnosis and treatment guidelines^(11)[Fig.1,based on Guidelines for the diagnosis and treatment of primary osteoporosis in China(2022)].
