Application of hand-sewn esophagojejunostomy in laparoscopic total gastrectomy.

OBJECTIVE: To investigate the clinical efficacy and prognostic implication of hand-sewn anastomosis in laparoscopic total gastrectomy (LTG). METHODS: Retrospective analysis is adopted to the clinicopathologic data of 112 patients with gastric cancer (GC) who went through LTG in the Department of General Surgery, the Second Affiliated Hospital of Anhui Medical University between October 2020 and October 2022. Among them, 60 individuals receiving medical care were split into the hand-sewn anastomosis group (Group H, N = 60); while, 52 individuals were split into the circular stapler anastomosis group (Group C, N = 52) The clinical efficacy and prognostic conditions of hand-sewn anastomosis are compared with those of circular stapler anastomosis in the application of LTG. RESULTS: The analysis results indicated that no notable difference was observed in intraoperative bleeding volume, time to first flatus (TFF), postoperative hospitalization duration and postoperative complications among the two groups (P > 0.05). Group H had shorter esophagojejunal anastomosis duration (20.0 min vs. 35.0 min) and surgery duration (252.6 ± 19.4 min vs. 265.9 ± 19.8 min), smaller incisions (5.0 cm vs. 10.5 cm), and lower hospitalization costs (58415.0 CNY vs. 63382.5 CNY) compared to Group C (P < 0.05). CONCLUSION: The clinical efficacy and the postoperative complications of hand-sewn esophagojejunostomy are basically equivalent in comparison to the circular stapler anastomosis in the application of LTG. Its advantage lies in shorter esophagojejunal anastomosis duration, shorter surgery duration, smaller incisions, lower hospitalization costs and wider adaptability of the location of the tumor.

Systematic tracking of nitrogen sources in complex river catchments: Machine learning approach based on microbial metagenomics.

Tracking nitrogen pollution sources is crucial for the effective management of water quality; however, it is a challenging task due to the complex contaminative scenarios in the freshwater systems. The contaminative pattern variations can induce quick responses of aquatic microorganisms, making them sensitive indicators of pollution origins. In this study, the soil and water assessment tool, accompanied by a detailed pollution source database, was used to detect the main nitrogen pollution sources in each sub-basin of the Liuyang River watershed. Thus, each sub-basin was assigned to a known class according to SWAT outputs, including point source pollution-dominated area, crop cultivation pollution-dominated area, and the septic tank pollution-dominated area. Based on these outputs, the random forest (RF) model was developed to predict the main pollution sources from different river ecosystems using a series of input variable groups (e.g., natural macroscopic characteristics, river physicochemical properties, 16S rRNA microbial taxonomic composition, microbial metagenomic data containing taxonomic and functional information, and their combination). The accuracy and the Kappa coefficient were used as the performance metrics for the RF model. Compared with the prediction performance among all the input variable groups, the prediction performance of the RF model was significantly improved using metagenomic indices as inputs. Among the metagenomic data-based models, the combination of the taxonomic information with functional information of all the species achieved the highest accuracy (0.84) and increased median Kappa coefficient (0.70). Feature importance analysis was used to identify key features that could serve as indicators for sudden pollution accidents and contribute to the overall function of the river system. The bacteria Rhabdochromatium marinum, Frankia, Actinomycetia, and Competibacteraceae were the most important species, whose mean decrease Gini indices were 0.0023, 0.0021, 0.0019, and 0.0018, respectively, although their relative abundances ranged only from 0.0004 to 0.1 %. Among the top 30 important variables, functional variables constituted more than half, demonstrating the remarkable variation in the microbial functions among sites with distinct pollution sources and the key role of functionality in predicting pollution sources. Many functional indicators related to the metabolism of Mycobacterium tuberculosis, such as K24693, K25621, K16048, and K14952, emerged as significant important factors in distinguishing nitrogen pollution origins. With the shortage of pollution source data in developing regions, this suggested approach offers an economical, quick, and accurate solution to locate the origins of water nitrogen pollution using the metagenomic data of microbial communities.

The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures.

PURPOSE: To develop and evaluate the performance of radiomics-based computed tomography (CT) combined with machine learning algorithms in detecting occult vertebral fractures (OVFs). MATERIALS AND METHODS: 128 vertebrae including 64 with OVF confirmed by magnetic resonance imaging and 64 corresponding control vertebrae from 57 patients who underwent chest/abdominal CT scans, were included. The CT radiomics features on mid-axial and mid-sagittal plane of each vertebra were extracted. The fractured and normal vertebrae were randomly divided into training set and validation set at a ratio of 8:2. Pearson correlation analyses and least absolute shrinkage and selection operator were used for selecting sagittal and axial features, respectively. Three machine-learning algorithms were used to construct the radiomics models based on the residual features. Receiver operating characteristic (ROC) analysis was used to verify the performance of model. RESULTS: For mid-axial CT imaging, 6 radiomics parameters were obtained and used for building the models. The logistic regression (LR) algorithm showed the best performance with area under the ROC curves (AUC) of training and validation sets of 0.682 and 0.775. For mid-sagittal CT imaging, 5 parameters were selected, and LR algorithms showed the best performance with AUC of training and validation sets of 0.832 and 0.882. The LR model based on sagittal CT yielded the best performance, with an accuracy of 0.846, sensitivity of 0.846, and specificity of 0.846. CONCLUSION: Machine learning based on CT radiomics features allows for the detection of OVFs, especially the LR model based on the radiomics of sagittal imaging, which indicates it is promising to further combine with deep learning to achieve automatic recognition of OVFs to reduce the associated secondary injury.

Effects of environmental and anthropogenic factors on the distribution and abundance of microplastics in freshwater ecosystems.

Although microplastics are emerging marine pollutants that have recently attracted increasing attention, it is still difficult to identify their sources. This study reviewed 6487 articles to determine current research trends and found 237 effective concentration points after sorting, which were distributed in four regions and related to freshwater ecosystems. Results found that 15 environmental variables represented natural and anthropogenic environmental characteristics, of which seven environmental variables were selected for experimental modelling. Random forest models fitted sample data, thus facilitating the identification of regional microplastics distribution. The global random forest model had random forest importance scores (RFISs) for gross domestic product, population, and the proportion of agricultural land use were 15.76 %, 15.64 %, and 14.74 %, respectively; these indicate that human activities significantly affected the global distribution of microplastics. In Asia, agriculture and urban activities are the main sources of microplastics, with an RFIS of 11.58 % and 12.24 % for the proportion of agricultural and urban land use, respectively. Activities in urban areas were determined to be the main influencing factors in North America, with an RFIS of 13.92 % for the proportion of urban land use. Agricultural activities were the main influencing factors in Europe, with RFISs for the proportion of agricultural land use of 16.90 %. Our results indicate that region-specific policies are required to control microplastics in different regions, with soil composition being a latency factor that affects microplastics' distribution.

Decorated Polyetheretherketone Implants with Antibacterial and Antioxidative Effects through Layer-by-Layer Nanoarchitectonics Facilitate Diabetic Bone Integration with Infection.

Patients suffering diabetic bone defects still need some new and effective strategies to achieve enhanced prognostic effects. Although medical implants are the common treatment of bone defects, the excessive oxidative stress and high risk of bacterial infection in diabetes mellitus lead to a higher risk of implant failure. To improve the healing ability of diabetic bone defects, herein, polyetheretherketone (PEEK) was modified through a developed layer-by-layer (LBL) construction strategy to obtain multifunctional PEEK (SP@(TA-GS/PF)*3) by the assembly of tannic acid (TA), gentamicin sulfate (GS) and Pluronic F127 (PF127) on the basis of prepared porous PEEK through sulfonation (SPEEK). The prepared SP@(TA-GS/PF)*3 exhibited sustained antimicrobial activity and enhanced the differentiation of osteoblast (MC3T3-E1) for needed osteogenesis. Moreover, SP@(TA-GS/PF)*3 scavenged excessive oxidative stress to promote the growth of H2O2 damaged HUVEC with enhanced secretion of VEGF for neovascularization. In addition, the remarkable in vivo outcomes of angiogenesis and osseointegration were revealed by the subcutaneous implant model and bone tissue implant model in diabetic rats, respectively. The in vitro and in vivo results demonstrated that modified PEEK with multifunction can be an attractive tool for enhancing bone integration under diabetic conditions, underpinning the clinical application potential of modified implants for diabetic osseointegration.

Atomically Dispersed Mn for Electrochemical CO2 Reduction with Tunable Performance.

Electrochemical CO2 reduction (ECR) is recognized as a sustainable and promising approach for the production of high-value chemicals. To facilitate widespread application of this technology, the design and construction of efficient cathodic electrocatalysts is critically important. Here we report the synthesis of atomically dispersed manganese on nitrogen-doped porous carbon (Mn SAs/NC) using a facile and scalable annealing method for catalyzing the ECR reaction. The as-obtained Mn SAs/NC delivers high activity and selectivity toward CO formation with a faradaic efficiency of 80.5±0.6%, over 5 times that of bare NC. The high activity is preserved even after 10 h of continuous polarization. The catalytic properties of our cost-effective Mn SAs/NC catalyst are readily tuned by regulating the nitrogen configurations and the percentage of Mn SAs via modulation of the nitrogen precursor and the thermal treatment conditions.

Rigorous Assessment of Cl- -Based Anolytes on Electrochemical Ammonia Synthesis.

Many challenges in the electrochemical synthesis of ammonia have been recognized with most effort focused on delineating false positives resulting from unidentified sources of nitrogen. However, the influence of oxidizing anolytes on the crossover and oxidization of ammonium during the electrolysis reaction remains unexplored. Here it is reported that the use of analytes containing halide ions (Cl- and Br- ) can rapidly convert the ammonium into N2 , which further intensifies the crossover of ammonium. Moreover, the extent of migration and oxidation of ammonium is found to be closely associated with external factors, such as applied potentials and the concentration of Cl- . These findings demonstrate the profound impact of oxidizing anolytes on the electrochemical synthesis of ammonia. Based on these results, many prior reported ammonia yield rates are calibrated. This work emphasizes the significance of avoiding selection of anolytes that can oxidize ammonium, which is believed to promote further progress in electrochemical nitrogen fixation.

Three-Dimensional Mesh Steganography and Steganalysis: A Review.

Three-dimensional (3-D) meshes are commonly used to represent virtual surfaces and volumes. Over the past decade, 3-D meshes have emerged in industrial, medical, and entertainment applications, being of large practical significance for 3-D mesh steganography and steganalysis. In this article, we provide a systematic survey of the literature on 3-D mesh steganography and steganalysis. Compared with an earlier survey (Girdhar et al., 2017), we propose a new taxonomy of steganographic algorithms with four categories: 1) two-state domain, 2) LSB domain, 3) permutation domain, and 4) transform domain. Regarding steganalysis algorithms, we divide them into two categories: 1) universal steganalysis and 2) specific steganalysis. For each category, the history of technical developments and the current technological level are introduced and discussed. Finally, we highlight some promising future research directions and challenges in improving the performance of 3-D mesh steganography and steganalysis.

CHEMICAL REACTION MONITORING BY AMBIENT MASS SPECTROMETRY.

Chemical reactions conducted in different media (liquid phase, gas phase, or surface) drive developments of versatile techniques for the detection of intermediates and prediction of reasonable reaction pathways. Without sample pretreatment, ambient mass spectrometry (AMS) has been applied to obtain structural information of reactive molecules that differ in polarity and molecular weight. Commercial ion sources (e.g., electrospray ionization, atmospheric pressure chemical ionization, and direct analysis in real-time) have been reported to monitor substrates and products by offline reaction examination. While the interception or characterization of reactive intermediates with short lifetime are still limited by the offline modes. Notably, online ionization technologies, with high tolerance to salt, buffer, and pH, can achieve direct sampling and ionization of on-going reactions conducted in different media (e.g., liquid phase, gas phase, or surface). Therefore, short-lived intermediates could be captured at unprecedented timescales, and the reaction dynamics could be studied for mechanism examinations without sample pretreatments. In this review, via various AMS methods, chemical reaction monitoring and mechanism elucidation for different classifications of reactions have been reviewed. The developments and advances of common ionization methods for offline reaction monitoring will also be highlighted.

Comparative analysis of vascular bulldog clamps used in laparoscopic liver resection.

ABSTRACT: To compare the clinical effect of Bulldog clamps with traditional Pringle for vascular occlusion during laparoscopic hepatectomy.One hundred ten patients were retrospectively investigated in this research from December 2014 to January 2019 in the second hospital of Anhui Medical University, who underwent laparoscopic liver resection using Bulldog (modified group, n = 54) and cotton tourniquet (traditional group, n = 56) for blocking the liver inflow-blood. Intraoperative blood loss, duration of the operation time, clamping time, postoperative outcomes were analyzed.All the operations were accomplished successfully without conversion to laparotomy, perioperative period clinical date was calculated. Intraoperative operative time, blood loss and resection sections had no statistical significance, but the clamping time (36.2 ±â€Š5.6 vs 277.3 ±â€Š88.4 s, P < .001) was significantly shorter in the bulldog group. Albumin, alanine aminotransferase, aspartate aminotransferase and serum total bilirubin had no statistical differences in postoperative day (POD) 1and 3, but POD 5 alanine aminotransferase (71.0 ±â€Š46.8vs 105.8 ±â€Š61.7IU/L P = .018) and aspartate aminotransferase (72.8 ±â€Š39.7 vs 100.2 ±â€Š16.7 IU/L P = .028). The postoperative hospital stays (7.02 ±â€Š1.56 vs 8.50 ±â€Š2.35 days P = .026) in bulldog group were lower than cotton group and differences had statistical significance. The C-reactive protein levels were significantly higher in the traditional group than in the modified group on POD 3 (46.3 ±â€Š19.2 vs 57.7 ±â€Š23.9 mg/L P = .019), and POD5 (13.3 ±â€Š4.2 vs 17.5 ±â€Š7.3 mg/L P = .001). There were 8 postoperative complications occurred in cotton group, while there was 5 in Bulldog group, all patients with complications were discharged after adequate drainage and symptomatic treatment.Bulldog is an effectively performed approach for vascular occlusion during laparoscopic hepatectomy than traditional Pringle maneuver.

Multifunctional Spiky Topological Nanocapsules for the Discrimination and Differential Inhibition of Inflammation and Cancer.

Accurate discrimination of inflammations and cancers as well as differential inhibition of cancers are significant for early diagnoses and timely treatments. Nanoparticles have become new modalities for diagnosis and therapy. However, they are still challenged by the efficient delivery of multiple reagents into living cells, discriminating multisignals without any interference, and differential treatments of different diseases. Here, multifunctional spiky topological nanocapsules (STNs) are prepared for the discrimination and differential inhibition of inflammation and cancer. With unique spiky hollow architectures, STNs' advantages including excellent loading capacity, enhanced cellular uptake, DNAs' protection against degradation, target-controlled drug release, and efficient endo-/lysosome escape are demonstrated. Therefore, sequential detection of inflammation-related miR-155 (by external modified hairpin DNAs) and the cancer target of monocarboxylate transporter 1 (MCT1) (by internal loaded pH-sensitive carbon dots and MCT1 inhibitor-AZD3965) are achieved. Furthermore, the release of AZD3965 from the cavities of STNs is controlled by the miR-155 amount (first target). Therefore, the released drug of AZD3965 realizes the stage-dependent differential treatment of diseases via cellular acidosis induced by MCT1 inhibition. Via in vivo evaluations of normal, inflammatory, and liver cancer cells/mice, as well as the efficient inhibition of tumor growth, the possibility of STN-based discrimination and differential treatment is confirmed. This would encourage new strategies for multidiagnosis and differential treatment of early-stage cancer.

Understanding of TEMPO-electrocatalyzed acceptorless dehydrogenation of tetrahydroquinoline by in situ extractive electrospray ionization mass spectrometry.

The TEMPO-electrocatalyzed acceptorless dehydrogenation of tetrahydroquinoline, a transformation in green synthesis and hydrogen storage, has been investigated by coupling of an electrocatalytic system with in situ extraction electrospray ionization mass spectrometry. Dynamic changes in important species and intermediates were monitored, which evoked an updated AD understanding.

Resveratrol affects the migration and apoptosis of monocytes by blocking HMGB1/NF-κB pathway.

BACKGROUND: Chronic inflammation is now recognized as a causal factor of aging. Resveratrol is a non-flavonoid compound that widely exists in plant species, exerting anti-inflammatory effects in vitro and in animal models. The chemotaxis of inflammatory cells and secretion of cytokines are key characters in inflammation response. METHODS: The effects of lipopolysaccharide (LPS) and high mobility group box-1 (HMGB1) chromosomal on the migration, inflammatory response, and apoptosis of monocytes were detected. THP-1 cells were used to study the effects of resveratrol treatment on LPS- and HMGB-induced monocytes. We aimed to investigate the effect of Resveratrol on monocyte migration and the expression of a special cytokine named HMGB1 in THP-1 cells. RESULTS: Resveratrol obviously inhibited THP-1 migration induced by LPS. LPS increased the expression of HMGB1 and its release in THP-1 cells, which were both decreased by resveratrol. Resveratrol inhibited the activity of NF-κB-p65 and the translocation of NF-κB-p65 from nucleus to cytoplasm induced by LPS. In addition, Resveratrol increased LPS and HMGB1-inhibited monocyte apoptosis. Resveratrol inhibited the LPS-induced HMGB1 secretion and its activation through NF-κB pathway. The THP-1 migration induced by LPS was inhibited by resveratrol. CONCLUSIONS: Resveratrol may inhibit monocyte migration and induce apoptosis by blocking downstream HMGB1/NF-κB/MCP-1 signaling pathways, thereby reducing systemic inflammation.

Multi-Dimensionally Extended Functionalization Innovates to an Entropy-Driven Detection of Multi-miRNAs for One-Step Cancer Screening and Diagnosis in Living Cells.

Compared with tedious multi-step detections, multi-functional nanoprobes are effective for one-step screening and diagnosis of cancers by multi-detection of microRNAs (miRNAs). However, limited probe density, spatial mutual interference, and low target-triggered hybridization efficiency of nanoprobes will hinder intracellular applications. Here, for obtaining high loading density but low spatial mutual interference between functional biomolecules on nanoprobes, an extended biofunctionalization in three dimensions (the two-dimensional surface and a special "height" direction) is designed. Therefore, a multi-functional probe is constructed for one-step detection of multi-miRNAs for cancer screening and diagnosis. With linker-bridged multiple single-stranded DNAs swung out rigidly, multi-dimensionally extended upconversion nanorods (ME-UCNRs) covered by chitosan are constructed to load and deliver multiple biomolecules into living cells. Escaping from endolysosomes, ME-UCNRs maintain good biological activities of functionalized DNAs for effective detection of multi-miRNAs in living cells. Thereby, with multiple targets of miRNAs, toehold-mediated entropy-driven strand displacements are employed to give respectively changed fluorescent signals via fluorescence resonance energy transfer. Thus, a universal cancer biomarker of miR-21 and two specific liver-cancer biomarkers (miR-199a and miR-224) are efficiently detected through a one-step detection. By discriminating cancer cells from normal ones and determining liver-cancer cells simultaneously, this work innovates an efficient and definite one-step strategy for fast screening and early cancer diagnosis.

CARMA3/NF-κB signaling contributes to tumorigenesis of hepatocellular carcinoma and is inhibited by sodium aescinate.

BACKGROUND: Primary hepatocellular carcinoma (HCC) is a very malignant tumor in the world. CARMA3 plays an oncogenic role in the pathogenesis of various tumors. However, the function of CARMA3 in HCC has not been fully clarified. AIM: To study the biological function of CAEMA3 in HCC. METHODS: Tissue microarray slides including tissues form 100 HCC patients were applied to access the expression of CARMA3 in HCC and its clinical relevance. Knockdown and overexpression of CARMA3 were conducted with plasmid transfection. MTT, colony formation, and apoptosis assays were performed to check the biological activity of cells. RESULTS: Higher expression of CARMA3 in HCC was relevant to poor prognostic survival (P < 0.05). Down-regulation of CARMA3 inhibited proliferation and colony formation and induced apoptosis in HCC cell lines, while increasing its expression promoted tumorigenesis. We also found that sodium aescinate (SA), a natural herb extract, exerted anti-proliferation effects in HCC cells by suppressing the CARMA3/nuclear factor kappa-B (NF-κB) pathway. CONCLUSION: Overexpression of CARMA3 in HCC tissues correlates with a poor prognosis in HCC patients. CARMA3 acts pro-tumorigenic effects partly through activation of CARMA3/NF-κB. SA inhibits HCC growth by targeting CARMA3/NF-κB.

Improved ELISA for tumor marker detection using electro-readout-mode based on label triggered degradation of methylene blue.

Enzyme-linked immunosorbent assay (ELISA), a gold-standard method for protein detection, has been widely utilized in disease diagnosis. Nevertheless, the method is constrained by its dependence on a colorimetric readout that, due to its relatively low sensitivity, prevents its use in tumor marker detection. Here we demonstrate an ELISA that incorporates an electro-readout mode in place of a colorimetric readout to achieve ultrasensitive and convenient tumor marker detection. Briefly, because hemin molecules supported by carbon sphere (CS) can catalyze dye degradation upon H2O2 addition, CS incorporating hemin was employed as a label. A hydrogel of sodium alginate-graphene oxide (SA-GO) affixed to an electrode was utilized as a support matrix to immobilize methylene blue (MB) for electrochemical signal generation. Using an ELISA like approach, a solution containing H2O2 was added to wells of 96-well plates containing preformed sandwiched immunocomplexes comprised of analyte, capture monoclonal antibody and signal antibody labeled with CS-supported hemin. When the hydrogel-modified electrode was immersed into a well containing a solution containing analyte immunocomplexes, the degradation of MB on the electrode was immediately triggered by label present within the immunocomplexes, resulting in a signal decrease dependent upon analyte concentration. Cancer antigen 125 was used as a model analyte to evaluate the improved ELISA. The calculated limit of detection was 0.048 mU mL-1, which was over six-fold more sensitive than traditional ELISA, indicating that this strategy greatly improves ELISA sensitivity and holds great promise for the quantitative determination of biomarkers for use in clinical diagnosis.

Improved sandwich-format electrochemical immunosensor based on "smart" SiO2@polydopamine nanocarrier.

An improved sandwich-type electrochemical immunosensor based on the novel signal amplification strategy was developed. Methylene blue (MB) loaded mesoporous silica nanoparticles (MSN) with polydopamine coating (PDA) were employed as "smart" labels, while phytic acid doped polyaniline hydrogel (PANI) with high adsorption capacity was acted as substrate. In this strategy, amount of redox species (MB) encapsulated in MSN by PDA will be released under acidic condition and then absorbed stably by PANI. Meanwhile, the label tended to drop down due to the destruction of polydopamine coating and the disassociation of antibody-antigen composites. The advantages of as-prepared immunosensor are as follows: (1) Higher electron transfer efficiency was obtained because of the decrease of relative position between MB and the electrode; (2) Lower impedance was achieved due to the loss of the labels and the dissociation of antigen-antibody insulating layer; (3) Abundant MB molecules were loaded on MSN/PDA nanocarrier with large pore volume for signal amplification. Under optimum conditions, the proposed immunosensor exhibited a low detection limit of 1.25 fg mL-1 and a wide linear range from 10 fg mL-1 to 100 ng mL-1 for prostate specific antigen detection. Importantly, present method showed good stability, selectivity, and reproducibility, which possessed wide potential applications for the detection of other biomarkers.

[Frequencies distribution of GSTT1 and GSTM1 null genotypes in 24 Yunnan populations].

OBJECTIVE: To investigate the frequencies distribution of GSTT1 and GSTM1 null genotypes in 24 Yunnan populations. METHODS: GSTT1 and GSTM1 genotypes were analyzed by PCR procedure. RESULTS: The range of frequencies for GSTT1 and GSTM1 null genotypes in the populations were 0.188-0.633 and 0.400-0.745, respectively, and in the districts were 0.286-0.583, 0.433-0.745 respectively. There was significant relationship between GSTT1 frequencies and populations. CONCLUSION: The frequencies of GSTT1 and GSTM1 null genotypes in 24 Yunnan populations were different, but they were almost the same in different districts of Yunnan.

The geographic polymorphisms of Y chromosome at YAP locus among 25 ethnic groups in Yunnan, China.

The genetic polymorphisms of Y chromosome at YAP locus in 25 ethnic groups (33 populations) of China were analyzed in a total of 1294 samples. The average YAP+ frequency of the 33 populations was 9.2%, coinciding with published data of Chinese populations. Primi has the highest YAP+ frequency (72.3%), which is also the highest YAP+ among all the eastern Asian populations studied. The YAP+ occurred in 17 populations studied including Tibetan (36.0%), Naxi (37.5% and 25.5%), Zhuang (21.3%), Jingpo (12.5%), Miao (11.8%), Dai (11.4%, 10.0%, 3.3% and 2.0%), Yi (8.0%), Bai of Yunnan (6.7% and 6.0%), Mongol of Inner Mongolia (4.3%), Tujia of Hunan (2.6%), Yao (2.2%) and Nu (1.8%). The other 15 populations are YAP-including Lahu (2 populations), Hani, Achang, Drung, Lisu, Sui, Bouyei, Va, Bulang, Deang, Man and Hui and Mongol of Yunnan and Bai of Hunan. The YAP+ frequencies varied among the different ethnic groups studied, and even different among the same ethnic group living in different geographic locations. Using the genetic information, combined with the knowledge of ethnology, history and archaeology, the origin and prehistoric migrations of the ethnic groups in China, especially in Yunnan Province were discussed.