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Misganaw W, Masresha G, Alemu A, Lulekal E. Ethnobotanical study of medicinal plants used to treat human and livestock ailments in Addi Arkay district, northwest Ethiopia. JOURNAL OF ETHNOBIOLOGY AND ETHNOMEDICINE 2025; 21:31. [PMID: 40346565 PMCID: PMC12065351 DOI: 10.1186/s13002-025-00775-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2025] [Accepted: 03/26/2025] [Indexed: 05/11/2025]
Abstract
BACKGROUND Ethiopia harbors a wealth of plant biodiversity, diverse ecological zones, rich cultural heritage, and long-standing traditional knowledge and medical practices. Despite documentation of this knowledge in few regions, information remains limited for the Addi Arkay district of northwestern Ethiopia. Therefore, this study aimed to document the indigenous and local knowledge on the use of human and livestock medicinal plants. METHODOLOGY Ethnobotanical data were collected between October and December 2024 through semi-structured interviews, guided field observations, focus group discussions, and ranking exercises conducted with 385 informants. Stratified sampling, random, and purposive sampling techniques were employed. A mixed-methods approach (both qualitative and quantitative) was used for data analysis. Quantitative analyses included preference ranking, Direct Matrix Ranking (DMR), Informant Consensus Factor (ICF), fidelity level (FL), Jaccard Similarity Index (JSI), and Rahman's Similarity Index (RSI). T tests and one-way ANOVA were employed to compare mean levels of indigenous and local knowledge across different socio-demographic and socio-economic factors. RESULTS This study documented 112 medicinal plant species (105 genera, 58 families, including four endemic and one nearly endemic) were used for human and livestock remedies in the Addi Arkay district, northwestern Ethiopia. Fabaceae was the dominant family (7.14%). The majority of plant species (75.89%) were used to treat human ailments, while a smaller proportion (5.36%) were used for livestock, and 18.75%) were used for both human and livestock ailments. The most frequently used plant parts were leaves (34.6%) followed by roots (27.9%), and grinding was the most common method of preparation (30.4%). The preference ranking exercise revealed Opuntia ficus-indica as the top choice for treating human hemorrhoids and Phytolacca dodecandra as the preferred treatment for rabies in livestock. DMR revealed Cordia africana, Olea europaea subsp. cuspidata, and Terminalia leiocarpa as the most threatened multipurpose medicinal plants. Informant Consensus Factor values ranged from 0.63 to 0.93. Fidelity level analysis revealed that Phytolacca dodecandra was most effective against rabies, followed by Rubia cordifolia for cough and Plumbago zeylanica for swelling. Agricultural expansion posed the most significant threat, followed by overgrazing and fuel (charcoal and fuel wood). The highest levels of indigenous and local medicinal plant knowledge were predominantly transmitted orally through family lines, with paternal contributions often playing a significant role. Compared to other studies conducted in Ethiopia, the Jaccard Similarity Index (JSI%) for human medicinal plants ranged in value from 6.9% to 68.92% and for veterinary plants from 10.91% to 27.91%, whereas the Rahman's Similarity Index (RSI) ranged from 0.98% to 15.63%. Ten novel medicinal plant uses, not previously documented in Ethiopia or elsewhere, were identified. CONCLUSION This pioneering study in Addi Arkay district, northwestern Ethiopia, documented 112 medicinal plants for the treatment of human and livestock ailments, revealing the significant array of plant resources utilized for local primary healthcare services. However, threats from agricultural expansion, overgrazing, and fuel (charcoal and fuel wood) use necessitate in situ and ex situ conservation actions. Implementing sustainable harvesting practices and community-based conservation initiatives is recommended to protect the rich medicinal plants wealth of the district for continual use across generations besides ensuring preservation of valuable ethnomedicinal knowledge.
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Affiliation(s)
- Worku Misganaw
- Department of Biology, Debark University, Debark, Ethiopia.
- Department of Biology, University of Gondar, Gondar, Ethiopia.
| | | | - Asmamaw Alemu
- Department of Forestry, University of Gondar, Gondar, Ethiopia
| | - Ermias Lulekal
- Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia
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Khan G, Hussain MS, Sultana A, Khan Y, Fatima R, Maqbool M, Bisht AS. Unveiling the Therapeutic Potential of Rumex abyssinicus: Phytochemical Insights and Pharmacological Applications. CURRENT PHARMACOLOGY REPORTS 2025; 11:32. [DOI: 10.1007/s40495-025-00411-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/10/2025] [Indexed: 05/04/2025]
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Zhang Z, Chen Z, Que Z, Fang Z, Zhu H, Tian J. Chinese Medicines and Natural Medicine as Immunotherapeutic Agents for Gastric Cancer: Recent Advances. Cancer Rep (Hoboken) 2024; 7:e2134. [PMID: 39233637 PMCID: PMC11375283 DOI: 10.1002/cnr2.2134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 06/06/2024] [Accepted: 06/30/2024] [Indexed: 09/06/2024] Open
Abstract
BACKGROUD According to the 2020 statistics from the World Health Organization's International Agency for Research on Cancer (IARC), it is projected that there will be over 1 million new cases of gastric cancer (GC) patients worldwide in 2020, resulting in approximately 770 000 deaths. Gastric cancer ranks fifth in terms of incidence rate and forth in death rate among malignant tumors. Despite advancements in early diagnostic techniques, the incidence of GC has exhibited a marginal decline; nevertheless, the mortality rate remains elevated for advanced inoperable patients with no currently available efficacious treatment options. RECENT FINDING Chinese medicine (CM) has emerged as an efficacious treatment for GC, gradually gaining acceptance and widespread usage in China. It exhibits distinctive advantages in the prevention and treatment of metastasis. CM and natural medicine possess the ability to elicit antitumor effects by augmenting immune cell population, enhancing immune cell activity, and improving the tumor immune microenvironment. CMs and natural remedies encompass a diverse range of types, characterized by multiple targets, pathways, and extensive pharmacological effects. Consequently, they have become a prominent research area among oncologists worldwide. Numerous studies have demonstrated that CM and natural medicine can directly or indirectly enhance innate immune system components (including macrophages, natural killer cells, and myeloid suppressor cells), adaptive immune system elements (such as T lymphocytes and regulatory T cells), relevant cytokines (e.g., IL-2, IL-4, IL-10, TNF-α), and PD-1/PD-L1 axis regulation, thereby bolstering the cytotoxicity of immune cells against tumor cells. CONCLUSIONS This ultimately leads to an improved tumor immune microenvironment facilitating superior antitumor efficacy. This paper critically examines the role of CM and natural medicine in regulating immunotherapy for GC, aiming to establish a new theoretical framework for the clinical treatment and prevention of gastric cancer within the realm of CM.
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Affiliation(s)
- Zhipeng Zhang
- Institute of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China
| | - Ziqi Chen
- Institute of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China
- Laboratory Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zujun Que
- Institute of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China
| | - Zhihong Fang
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Huirong Zhu
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jianhui Tian
- Institute of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China
- Clinical Oncology Center, Shanghai Municipal Hospital of TCM, Shanghai University of TCM, Shanghai, China
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Xu Q, Gao J, Zhao R, Li H, Cui H, Yuan Z, Ren H, Cao B, Wei B. Akkermansia muciniphila-derived pentadecanoic acid enhances oxaliplatin sensitivity in gastric cancer by modulating glycolysis. Pharmacol Res 2024; 206:107278. [PMID: 38908613 DOI: 10.1016/j.phrs.2024.107278] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/12/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
Accumulating evidence has proved the close association between alterations in gut microbiota and resistance to chemotherapeutic drugs. However, the potential roles of gut microbiota in regulating oxaliplatin sensitivity in gastric cancer (GC) have not been investigated before. We first found that antibiotic treatment diminished the therapeutic efficacy of oxaliplatin in a GC mouse model. Importantly, this effect could be transmitted to germ-free mice via fecal microbiota transplantation, indicating a potential role of gut microbiota modulation in oxaliplatin efficacy. Further, metagenomics data showed that Akkermansia muciniphila (A. muciniphila) ranked first among the bacterial species with decreased relative abundances after antibiotic treatment. Metabolically active A. muciniphila promotes oxaliplatin efficacy. As shown by metabolomics analysis, the metabolic pattern of gut microbiota was disrupted with significantly downregulated levels of pentadecanoic acid (PEA), and the use of PEA significantly promoted oxaliplatin efficacy. Mechanistically, FUBP1 positively regulated aerobic glycolysis of GC cells to hinder the therapeutic efficacy of oxaliplatin. A. muciniphila-derived PEA functioned as an inhibitory factor of glycolysis by directly antagonizing the activity of FUBP1, which potentiated GC responses to oxaliplatin. Our research suggested a key role for intestinal A. muciniphila and its metabolite PEA in promoting oxaliplatin efficacy, thus providing a new perspective for probiotic and prebiotic intervention in GC patients during chemotherapy.
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Affiliation(s)
- Qixuan Xu
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese PLA, Beijing 100853, China
| | - Jingwang Gao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese PLA, Beijing 100853, China
| | - Ruiyang Zhao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese PLA, Beijing 100853, China
| | - Hanghang Li
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese PLA, Beijing 100853, China
| | - Hao Cui
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; School of Medicine, Nankai University, Tianjin, China
| | - Zhen Yuan
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; School of Medicine, Nankai University, Tianjin, China
| | - Huiguang Ren
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese PLA, Beijing 100853, China
| | - Bo Cao
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
| | - Bo Wei
- Department of General Surgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
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Pan S, Cai Q, Wei Y, Tang H, Zhang Y, Zhou W, Deng T, Mo W, Wang S, Wang C, Chen C. Increased co-expression of ICOS and PD-1 predicts poor overall survival in patients with acute myeloid leukemia. Immunobiology 2024; 229:152804. [PMID: 38615511 DOI: 10.1016/j.imbio.2024.152804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 04/04/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Inducible co-stimulatory factor (ICOS) has a dual role: activating cytotoxic T cells against tumors or exacerbating immunosuppression of regulatory T cells (Tregs) to participate in immune evasion. However, the correlation between ICOS and its co-expression with inhibitory immune checkpoints (IICs) and prognosis in acute myeloid leukemia (AML) is little known. METHODS The prognostic importance of ICOS and IICs in 62 bone marrow (BM) samples of de novo AML patients from our clinical center (GZFPH) was explored and then the RNA sequencing data of 155 AML patients from the Cancer Genome Atlas (TCGA) database was used for validation. RESULTS In both GZFPH and TCGA cohorts, high expression of ICOS was significantly associated with poor overall survival (OS) in patients with AML (P < 0.05). Importantly, co-expression of ICOS and PD-1, PD-L1, PD-L2, CTLA-4, and LAG-3 predicted poor OS in AML; among them, ICOS/PD-1 was the optimal combination of immune checkpoints (ICs). The co-expression of ICOS and PD-1 was correlated with poor OS in non-acute promyelocytic leukemia (non-APL) patients following chemotherapy. Additionally, ICOS/PD-1 was an independent OS-predicting factor (P < 0.05). Notably, a nomogram model was constructed by combining ICOS/PD-1, age, European Leukemia Net (ELN) risk stratification, and therapy to visually and personalized predict the 1-, 3-, and 5-year OS of patients with non-APL. CONCLUSION Increased expression of ICOS predicted poor outcomes, and ICOS/PD-1 was the optimal combination of ICs to predict outcomes in patients with AML, which might be a potential immune biomarker for designing novel AML therapy.
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Affiliation(s)
- Shiyi Pan
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Qinghua Cai
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Yiqiong Wei
- Department of Neurology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Haifeng Tang
- Department of Surgery, The Third School of Clinical Medicine, Southern Medical University, Guangzhou 516006, China
| | - Yuping Zhang
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Wei Zhou
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Tingfen Deng
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Wenjian Mo
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China
| | - Shunqing Wang
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China.
| | - Caixia Wang
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China.
| | - Cunte Chen
- Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou 510180, China.
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