Foam cell origination from degenerated vascular smooth muscle cells in atherosclerosis: An ultrastructural study on hyperlipidemic rabbits.

To clarify foam cell origination in atherosclerosis, a series of morphologic and ultrastructural alterations of vascular smooth muscle cells (VSMCs) and foam cells were studied by light and electron microscopy in atherosclerotic aortas from hyperlipidemic rabbits induced for 5 weeks. The study exhibited that VSMCs were severely degenerated and damaged, including irregular shapes, expanded mitochondria, aplenty lipid droplets, and disarranged myofilaments in cytoplasm in media adjacent to atheromatic bottoms. Most lipid laden cells shared interphase structures of VSMCs and foam cells, and some dissolved spindle cells contained lipid droplets, lipofuscin, and rod-like CCs in cytoplasm also. The result demonstrated that VSMCs were degenerated and transformed into foam cells in atherosclerosis, which was responsible for the accumulation of lipid and cholesterol crystals in atherosclerotic arteries.

One cell one niche: hematopoietic microenvironments constructed by bone marrow stromal cells with fibroblastic and histiocytic features.

Hematopoietic microenvironments have been extensively studied, especially focusing on regulation of hematopoietic stem cells (HSCs) in HSC niche following progress of molecular biology in resent years. Based on prior morphological achievements from 1970s, the characteristics of cellular compartments and bone marrow stromal cells (BMSCs) were studied ultrastructurally in human and mice bone marrow in the present study. The samples, human bone marrow granules, were collected from bone marrow aspirations (BMAs) of 20 patients with hematocytopenia and isolated BMSCs were found undesignedly in nucleated cells of BMAs of the patients. Femoral bone marrow samples were collected from 6-week-old three sacrificed mice. Detailed images illustrated maturing hematopoietic cells harbored individually in honeycomb-like microenvironment constituted by BMSCs that shared of fibroblastic and histiocytic characteristics in hematopoietic microenvironments of human and mice bone marrow.

Systematic alteration of apoptosis: a review with ultrastructural observations on leukemia cells in vivo.

The ultrastructural characteristics of apoptosis have been described microscopically for four decades. Alterations of nuclei, apoptotic bodies, cytoplasm, and some organelles have been illustrated and investigated during apoptosis. The successive changes of cellular components corresponding with differentiation of apoptotic cells are illustrated in the present review, based on ultrastructural observation of leukemia cells of patients in our routine clinic work by transmission electron microscopy. Most electron micrographs demonstrated that membranous components of nuclear envelop, rough endoplasmic reticulum and Golgi apparatus, and mitochondria were degenerated step by step during apoptosis. The successive images suggested that the endoplasmic reticulum and Golgi apparatus were transferred to cell surface from cytoplasm and participated in formation of apoptotic bodies in apoptosis, although relevant clinical data and more experimental evidence were needed for restraining of leukemia cases from diagnostic work randomly in recent decades.

A novel anemia associated with membranous cytoplasm degeneration in 16 patients: an ultrastructural study.

Sixteen patients with mild anemia and hemolysis were difficult to be classified into any known category based on laboratory examinations and light microscopy. To make a definite diagnosis and investigate the pathomechanism, ultrastructural study was performed on erythroid cells from 16 patients. Transmission electron microscopy demonstrated a series of alterations of cytoplasm, including cytoplasm sequestration, membranous transformation, and degeneration in erythroblasts and reticulocytes at different stages. The affected erythroblasts were usually complicated with chromatin condensation, karyorrhexis, nuclear membrane lysis, and megaloblastic changes. The reticulocytes with the cytoplasm alterations had a huge size from 10 um to 15 um in diameter. The membranous cytoplasm degeneration revealed a unique pathomechanism of dyserythropoiesis and ineffective erythropoiesis in 16 patients with anemia, and suggested a novel anemia category though more details remained to be investigated.

Rheb1-mTORC1 maintains macrophage differentiation and phagocytosis in mice.

Ras homolog enriched in brain (Rheb1) is a small GTPase and is known to be a direct activator of mTORC1. Dysregulation of Rheb1 has been shown to impair the cellular-energetic state and cell homeostasis. However, the role of Rheb1 in monocytes/macrophages differentiation and maturation is not clear. Here, we investigate the role of Rheb1 in mouse myelopoiesis using a Rheb1 conditional deletion murine model. We found that the absolute number of macrophages decreased in the bone marrow (BM) of Rheb1-deficient mice. Loss of Rheb1 inhibited the monocyte-to-macrophage differentiation process. Additionally, Rheb1 deletion reduced phagocytosis ability of macrophages by inhibiting the mTORC1 signaling pathway. Furthermore, 3BDO (an activator of mTORC1) rescued the phagocytosis ability of Rheb1-deficient macrophages. Thus, Rheb1 is critical for macrophage production and phagocytosis and executes these activities possibly via mTORC1-dependent pathway.

Platelet production of megakaryocyte: A review with original observations on human in vivo cells and bone marrow.

Megakaryocytes (MKs) build characteristic structures to produce platelets in a series of steps. Although mechanisms of demarcation membrane system (DMS) and open canalicular system transformation have been proposed based on experimental studies in recent decades, the related evidence is lacking in human cells in vivo. The present review describes and discusses the development of MKs, transformation of DMS, and the release and maturation of proplatelets based on our observation of human MKs in vivo and bone marrow biopsy by light microscope and transmission electron microscope. Four stages were subdivided from megakaryoblasts to matured cells; presumption of DMS transformation from endoplasmic reticulum and Golgi apparatus were evidenced in contrast to another presumption of DMS transformation from plasma membrane in this review. Effectors of interaction between hematopoietic cells, the sucking and shearing force of sinus blood flow on movement of MKs, and release of proplatelets were emphasized. Additionally, the mechanism of secondary splitting of proplatelets in circulation was demonstrated ultrastructurally. These findings and conceptions might significantly promote our understanding of the mechanism of platelet production in human in vivo cells.

Histiocytic differentiation in acute monocytic leukemia.

Myeloid histocytes of dendritic cells (DCs), Langerhans cells (LCs), and macrophages in varied tissues, as leukemic blasts in acute monoblastic and monocytic leukemia (AML-M5a and M5b), are derived from monocyte progenitors in bone marrow. Based on DC induction from hematopoietic stem cells, myeloid progenitors, and monocytes, and occasional expressions of histocyte-related antigens (HRAs) in M5, we presume some M5 cases share histiocytic phenotypes originally. To clarify the conception, 93 M5 cases were tested with antibodies for HRAs, CD1a, CD163, S100, fascin, and langerin by immunostaining, and their morphologic characteristics were studied by light and transmission electron microscopy. The study revealed that 23 M5 cases were positive for two or more kinds of HRAs and shared a serial of histocytic immunophenotype and morphologic features, which were closely associated with M5b subtype and expression of CD14 in M5.

Twist-1, a novel regulator of hematopoietic stem cell self-renewal and myeloid lineage development.

Transcription factor Twist-1 plays essential roles in specification and differentiation of mesoderm-derived tissues. Growing evidences now link Twist-1 to the acquisition of stem-cell-like properties. However, the role of Twist-1 in hematopoietic stem cell (HSC) remains largely uncharacterized. We report that Twist-1 is more highly expressed in murine HSC and its expression declines with differentiation. To investigate Twist-1 gene function, retroviral-mediated overexpression or removal experiments are performed. Competitive repopulation studies demonstrate that enforced expression of Twist-1 in HSC-enriched Lin(-) c-Kit(+) Sca-1(+) (LKS) cells results in an increase in the size of the G(0) population, and in their reconstitution ability after the first and a second transplantation. Conversely, removal of Twist-1 in LKS cells impairs their ability to repopulate. In addition, increased Twist-1 expression causes a shift toward production of myeloid cells. Twist-1 transduction in LKS cells activates myeloid lineage-determining factors PU.1 and GATA-1 and downregulates lymphoid factor GATA-3 in vitro, suggesting that Twist-1-mediated myeloid skewing occurs in hematopoietic stem and progenitor cells (HSPCs). These findings indicate that Twist-1 is not only involved in the maintenance of HSC dormancy and self-renewal capacity but also implicated in the myeloid lineage fate choice of HSPCs. Exploration of the underlying mechanisms reveals that Runx1/c-Mpl/Tie2 regulatory pathway could possibly account for the observed effects caused by Twist-1 overexpression. Our study provides the first evidence supporting a role for Twist-1 in hematopoiesis.

External validation and clinical evaluation of the International Prognostic Score of Thrombosis for Essential Thrombocythemia (IPSET-thrombosis) in a large cohort of Chinese patients.

OBJECTIVES: In patients with essential thrombocythemia (ET), vascular complications contribute to both morbidity and mortality. To better predict the occurrence of thrombotic events, an International Prognostic Score of thrombosis for ET (IPSET-thrombosis) was recently developed. We hereby presented an external validation and analysis of this model in a large Cohort of Chinese Patients. METHODS: We retrospectively evaluated the characteristics and risk factors for thrombosis in 970 Chinese patients with ET and estimated the clinical implications of the IPSET-thrombosis model. RESULTS: The median follow-up was 49 months (range, 0-360). Chinese ET patients had similar clinical characteristics as Caucasian patients. Similar to the IPSET-thrombosis study, our multivariate analysis revealed age >60 (HR = 1.949), previous thrombosis (HR = 2.484), JAK2V617F mutation (HR = 1.719), and cardiovascular risk factors (HR = 1.877) as independent risk factors for thrombosis. We confirmed that the above risk factors in IPSET-thrombosis, when compared with traditional risk factors (e.g., age ≥60 and previous thrombotic events), were more predictive of thrombotic events (C-index 0.714 vs. 0.647). Classification by IPSET-thrombosis risk groups revealed different cumulative thrombosis-free survival (P < 0.001). For treatment, patients in the intermediate- and high-risk group derived clinical benefit from cytoreductive agents (P < 0.05), but those in the low-risk group did not (P = 0.446). The lower risk of thrombosis on cytoreductive therapy was related to decrease in leukocyte count during the disease course. CONCLUSIONS: We validate the reproducibility of IPSET-thrombosis in Chinese ET patients and provide key clinical implications.

Key candidate genes and pathways in T lymphoblastic leukemia/lymphoma identified by bioinformatics and serological analyses.

T-cell acute lymphoblastic leukemia (T-ALL)/T-cell lymphoblastic lymphoma (T-LBL) is an uncommon but highly aggressive hematological malignancy. It has high recurrence and mortality rates and is challenging to treat. This study conducted bioinformatics analyses, compared genetic expression profiles of healthy controls with patients having T-ALL/T-LBL, and verified the results through serological indicators. Data were acquired from the GSE48558 dataset from Gene Expression Omnibus (GEO). T-ALL patients and normal T cells-related differentially expressed genes (DEGs) were investigated using the online analysis tool GEO2R in GEO, identifying 78 upregulated and 130 downregulated genes. Gene Ontology (GO) and protein-protein interaction (PPI) network analyses of the top 10 DEGs showed enrichment in pathways linked to abnormal mitotic cell cycles, chromosomal instability, dysfunction of inflammatory mediators, and functional defects in T-cells, natural killer (NK) cells, and immune checkpoints. The DEGs were then validated by examining blood indices in samples obtained from patients, comparing the T-ALL/T-LBL group with the control group. Significant differences were observed in the levels of various blood components between T-ALL and T-LBL patients. These components include neutrophils, lymphocyte percentage, hemoglobin (HGB), total protein, globulin, erythropoietin (EPO) levels, thrombin time (TT), D-dimer (DD), and C-reactive protein (CRP). Additionally, there were significant differences in peripheral blood leukocyte count, absolute lymphocyte count, creatinine, cholesterol, low-density lipoprotein, folate, and thrombin times. The genes and pathways associated with T-LBL/T-ALL were identified, and peripheral blood HGB, EPO, TT, DD, and CRP were key molecular markers. This will assist the diagnosis of T-ALL/T-LBL, with applications for differential diagnosis, treatment, and prognosis.

Reshoring silicon photovoltaics manufacturing contributes to decarbonization and climate change mitigation.

The globalized supply chain for crystalline silicon (c-Si) photovoltaic (PV) panels is increasingly fragile, as the now-mundane freight crisis and other geopolitical risks threaten to postpone major PV projects. Here, we study and report the results of climate change implications of reshoring solar panel manufacturing as a robust and resilient strategy to reduce reliance on foreign PV panel supplies. We project that if the U.S. could fully bring c-Si PV panel manufacturing back home by 2035, the estimated greenhouse gas emissions and energy consumption would be 30% and 13% lower, respectively, than having relied on global imports in 2020, as solar power emerges as a major renewable energy source. If the reshored manufacturing target is achieved by 2050, the climate change and energy impacts would be further reduced by 33% and 17%, compared to the 2020 level. The reshored manufacturing demonstrates significant progress in domestic competitiveness and toward decarbonization goals, and the positive reductions in climate change impacts align with the climate target.

Rapid identification of early renal damage in asymptomatic hyperuricemia patients based on urine Raman spectroscopy and bioinformatics analysis.

Objective: The issue of when to start treatment in patients with hyperuricemia (HUA) without gout and chronic kidney disease (CKD) is both important and controversial. In this study, Raman spectroscopy (RS) was used to analyze urine samples, and key genes expressed differentially CKD were identified using bioinformatics. The biological functions and regulatory pathways of these key genes were preliminarily analyzed, and the relationship between them as well as the heterogeneity of the urine components of HUA was evaluated. This study provides new ideas for the rapid evaluation of renal function in patients with HUA and CKD, while providing an important reference for the new treatment strategy of HUA disease. Methods: A physically examined population in 2021 was recruited as the research subjects. There were 10 cases with normal blood uric acid level and 31 cases with asymptomatic HUA diagnosis. The general clinical data were collected and the urine samples were analyzed by Raman spectroscopy. An identification model was also established by using the multidimensional multivariate method of orthogonal partial least squares discriminant analysis (OPLS-DA) model for statistical analysis of the data, key genes associated with CKD were identified using the Gene Expression Omnibus (GEO) database, and key biological pathways associated with renal function damage in CKD patients with HUA were analyzed. Results: The Raman spectra showed significant differences in the levels of uric acid (640 cm-1), urea, creatinine (1,608, 1,706 cm-1), proteins/amino acids (642, 828, 1,556, 1,585, 1,587, 1,596, 1,603, 1,615 cm-1), and ketone body (1,643 cm-1) (p < 0.05). The top 10 differentially expressed genes (DEGs) associated with CKD (ALB, MYC, IL10, FOS, TOP2A, PLG, REN, FGA, CCNA2, and BUB1) were identified. Compared with the differential peak positions analyzed by the OPLS-DA model, it was found that the peak positions of glutathione, tryptophan and tyrosine may be important markers for the diagnosis and progression of CKD. Conclusion: The progression of CKD was related to the expression of the ALB, MYC, IL10, PLG, REN, and FGA genes. Patients with HUA may have abnormalities in glutathione, tryptophan, tyrosine, and energy metabolism. The application of Raman spectroscopy to analyze urine samples and interpret the heterogeneity of the internal environment of asymptomatic HUA patients can be combined with the OPLS-DA model to mine the massive clinical and biochemical examination information on HUA patients. The results can also provide a reference for identifying the right time for intervention for uric acid as well as assist the early detection of changes in the internal environment of the body. Finally, this approach provides a useful technical supplement for exploring a low-cost, rapid evaluation and improving the timeliness of screening. Precise intervention of abnormal signal levels of internal environment and energy metabolism may be a potential way to delay renal injury in patients with HUA.

Application of serum Raman spectroscopy in rapid and early discrimination of aplastic anemia and myelodysplastic syndrome.

BACKGROUND: Raman spectroscopy of hematological diseases has gained attention from various researchers. However, serum analysis of bone marrow failure (BMF), represented by aplastic anemia (AA) and myelodysplastic syndromes (MDS) has not been fully investigated. In this study, we aimed at establishing a simple, non-invasive serum detection method for AA and MDS. METHOD: Serum samples from 35 AA patients (N = 35), MDS patients (N = 25), and control volunteers (N = 23) were systematically analyzed via laser Raman spectroscopy, and orthogonal partial least squares discrimination analysis (OPLS-DA). Then, discrimination models between the BMFs and control were constructed and evaluated using the prediction set. RESULTS: Compared to control volunteers, serum spectral data for BMF patients were specific. The intensities of Raman peaks representing nucleic acids (726, 781, 786, 1078, 1190, 1415 cm-1), proteins (1221 cm-1), phospholipid/cholesterol (1285 cm-1), and ß-carotene (1162 cm-1) significantly decreased, while the intensity of lipids (1437 and 1446 cm-1) significantly increased. Intensities of Raman peaks representing nucleic acids (726 cm-1) and collagen (1344 cm-1) in the AA group were significantly lower than in the control group. Intensities of Raman peaks representing nucleic acids (726 and 786 cm-1), proteins (1003 cm-1), and collagen (1344 cm-1) in the MDS group were significantly lower than those of the control group. The intensity of Raman peaks representing lipids (1437 and 1443 cm-1) in the MDS group was significantly higher than in the control group. Patients with AA and MDS exhibited increased serum triglyceride levels and decreased high-density lipoprotein levels. CONCLUSIONS: The relationship between serological test data for patients and typing of AA and MDS provides essential information for rapid and early identification of BMF. This study shows the potential of Raman spectroscopy for non-invasive detection of different BMF types.

Elucidating the cell metabolic heterogeneity during hematopoietic lineage differentiation based on Met-Flow.

Cell metabolism is critically involved in the differentiation of the hematopoietic lineage and, therefore, has attracted the attention of researchers, however, in-depth studies on cellular metabolic activity of hematopoietic cells (HCs) require attention. This investigation compared the metabolic activity of HCs at critical lineage differentiation stages, including hematopoietic stem cells (HSCs), hematopoietic progenitor cells (HPCs), and differentiated blood cells, via multiple methods and basic reference values. Primary metabolic processes of HCs, including anabolism, catabolism, phosphate, and glucose metabolism, were analyzed, and their maps were drawn. The data revealed that GLUT1 expression in HSCs was substantially higher than in all progenitor cells and mature myeloid blood cells, indicating their strong glucose uptake capacity. In myeloid differentiation, the ACAC expression of HPC2 was markedly higher than in neutrophils and monocytes. The ACAC, ASS1, ATP5A, and PRDX2 of HPC2 expression in lymphoid differentiation was substantially greater than in B and Natural-killer cells. CLP, CMP, GMP, MEP, and HPC1 inherit increased glucose uptake stem cell properties. In lymphocyte subsets, the expression of ACAC, ASS1, ATP5A, CPT1A, and PRDX2 in CD4+ T subgroups (naive and memory CD4+ T and nTreg) were elevated than in B subgroups (pro-, pre-, immature and mature Bs) and CD8+ T subgroups. Furthermore, leukemia stem cells (LSCs) had increased levels of ACAC, CPT1A, G6PD, IDH2, and PRDX2 than leukemia cells, indicating a stronger metabolic capacity of LSCs than differentiated leukemia cells.

Bioinformatics and Raman spectroscopy-based identification of key pathways and genes enabling differentiation between acute myeloid leukemia and T cell acute lymphoblastic leukemia.

Acute myeloid leukemia (AML) and T cell acute lymphoblastic leukemia (T-ALL) are two of the most prevalent hematological malignancies diagnosed among adult leukemia patients, with both being difficult to treat and associated with high rates of recurrence and mortality. In the present study, bioinformatics approaches were used to analyze both of these types of leukemia in an effort to identify characteristic gene expression patterns that were subsequently validated via Raman spectroscopy. For these analyses, four Gene Expression Omnibus datasets (GSE13204, GSE51082, GSE89565, and GSE131184) pertaining to acute leukemia were downloaded, and differentially expressed genes (DEGs) were then identified through comparisons of AML and T-ALL patient samples using the R Bioconductor package. Shared DEGs were then subjected to Gene Ontology (GO) enrichment analyses and were used to establish a protein-protein interaction (PPI) network analysis. In total, 43 and 129 upregulated and downregulated DEGs were respectively identified. Enrichment analyses indicated that these DEGs were closely tied to immune function, collagen synthesis and decomposition, inflammation, the synthesis and decomposition of lipopolysaccharide, and antigen presentation. PPI network module clustering analyses further led to the identification of the top 10 significantly upregulated and downregulated genes associated with disease incidence. These key genes were then validated in patient samples via Raman spectroscopy, ultimately confirming the value of these genes as tools that may aid the differential diagnosis and treatment of AML and T-ALL. Overall, these results thus highlight a range of novel pathways and genes that are linked to the incidence and progression of AML and T-ALL, providing a list of important diagnostic and prognostic molecular markers that have the potential to aid in the clinical diagnosis and treatment of these devastating malignancies.

Advances in the application of Raman spectroscopy in haematological tumours.

Hematologic malignancies are a diverse collection of cancers that affect the blood, bone marrow, and organs. They have a very unpredictable prognosis and recur after treatment. Leukemia, lymphoma, and myeloma are the most prevalent symptoms. Despite advancements in chemotherapy and supportive care, the incidence rate and mortality of patients with hematological malignancies remain high. Additionally, there are issues with the clinical diagnosis because several hematological malignancies lack defined, systematic diagnostic criteria. This work provided an overview of the fundamentals, benefits, and limitations of Raman spectroscopy and its use in hematological cancers. The alterations of trace substances can be recognized using Raman spectroscopy. High sensitivity, non-destructive, quick, real-time, and other attributes define it. Clinicians must promptly identify disorders and keep track of analytes in biological fluids. For instance, surface-enhanced Raman spectroscopy is employed in diagnosing gene mutations in myelodysplastic syndromes due to its high sensitivity and multiple detection benefits. Serum indicators for multiple myeloma have been routinely used for detection. The simultaneous observation of DNA strand modifications and the production of new molecular bonds by tip-enhanced Raman spectroscopy is of tremendous significance for diagnosing lymphoma and multiple myeloma with unidentified diagnostic criteria.

Bioinspired Construction of Micronano Lignocellulose into an Impact Resistance "Wooden Armor" With Bouligand Structure.

The demand for advanced safeguards has increased with a rise in terrorism and international conflicts. Traditional impact-resistant glass and ceramics have relatively high performance but have several drawbacks as well, such as inflexibility, heaviness, and high processing energy consumption. Herein, we propose sustainable lignocellulosic duplicates: the Pirarucu scale-inspired structures that can serve as "wood armor" with impressive damage tolerance. By accurately assembling a rigid laminated lignocellulose, with a soft shear-thickened fluid interlayer, into a Bouligand-like structure, the artificial wooden armor exhibits a 10-fold increase in impact resistance. This observation is similar to that of typical engineering materials (e.g., ceramics, glass, and alloys). However, our proposed material structure has the capability of blocking the enormous impact of a bullet while notably having approximately half the density of typical engineering materials. The high durability and damage resistance of wooden armor effectively prevents catastrophic damage when it is impacted upon. The design strategy presents a method for lightweight, high-performance, and sustainable bioinspired materials for special security applications.

Raman spectroscopy differ leukemic cells from their healthy counterparts and screen biomarkers in acute leukemia.

Precision medicine is important in the treatment of acute leukemia (AL). The target therapies of AL provide an opportunity to reduce the mortality of AL. How AL cells differ from their healthy counterparts is the basis for the development of therapies and the outcome of AL patients. Therefore, a label-free and noninvasive single-cell Raman platform was used to characterize cell molecular profiles and found potential biomarkers from three healthy people and twelve AL patients with more than 90% accuracy. We analyzed myeloblasts, abnormal promyelocytes, monoblasts and B-ALL cells respectively, compared with their healthy counterparts, which could be distinguished by their intrinsic phenotypic Raman spectra using orthogonal partial least squares discriminate analysis (OPLS-DA). Most importantly, we selected statistically significant markers of the four leukemia models. Further analysis of leukemic granulocytes, we found that a combination of the 1003, 1341 and 1579 cm-1 Raman peaks could discriminate myeloblasts and abnormal promyelocytes from normal granulocytes. The assignments of 1579 cm-1 gave us a clue to find potential important variables myeloperoxidase related with AL diagnosis. Our study demonstrates the capability of the Raman platform to characterize leukemia cells with non-invasively probing metabolites. The biomarker we identified could be extensible to other blood cells and potentially have a high impact on leukemia therapy.

Stabilizing the interface of PEO solid electrolyte to lithium metal anode via a g-C3N4 mediator.

g-C3N4 is introduced to the PEO electrolyte as a mediator to stabilize the interface to lithium metal anode. As a result, the interface resistance is stabilized after cycling and the symmetric cell exhibits a cycle life over 900 h, indicating that the interface stability is evidently promoted.

Rapid and non-invasive discrimination of acute leukemia bone marrow supernatants by Raman spectroscopy and multivariate statistical analysis.

A simple and non-invasive detection method for acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) was established by systematically investigating the characteristics of bone marrow supernatants from 61 AML patients, 22 ALL patients, and 5 volunteers without hematological tumors by Raman spectroscopy and orthogonal partial least squares discriminant analysis (OPLS-DA). The control group could be well distinguished from the AML and ALL groups by Raman peaks of 859, 1031, 1437, 1443, 1446, 1579, and 1603 cm-1 and from the AML subtypes groups (AML-M2, AML-M3, AML-M4, and AML-M5) by the Raman peaks of 859, 1221, 1230, 1437, 1443, and 1603 cm-1, indicating high sensitivity and specificity of the method. Potentially important variables of acute leukemia (AL) prognosis, such as cholesterol, high-density lipoprotein, low-density lipoprotein, adenosine deaminase, and hemoglobin, could be effectively identified by Raman peaks of 1437, 1443, and 1579 cm-1. Therefore, Raman spectroscopy can be considered as a new non-invasive clinical tool for the detection of different types of AL and can be used to correlate biochemical parameters of AL patients with the classification and prognosis of AL.